Flatfox Profiling

Dataset statistics

Number of variables	58
Number of observations	27657
Missing cells	406786
Missing cells (%)	25.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	11.5 MiB
Average record size in memory	436.0 B

Variable types

Numeric	20
Text	27
Categorical	7
Boolean	4

Alerts

`status` has constant value "act"	Constant
`live_viewing_url` has constant value "https://my.matterport.com/show/?m=YRVdfY6Bvqa&ts=1"	Constant
`price_display_type` is highly imbalanced (76.5%)	Imbalance
`price_unit` is highly imbalanced (64.5%)	Imbalance
`is_furnished` is highly imbalanced (50.2%)	Imbalance
`is_temporary` is highly imbalanced (71.7%)	Imbalance
`is_selling_furniture` is highly imbalanced (86.6%)	Imbalance
`reserved` is highly imbalanced (99.7%)	Imbalance
`reference` has 6129 (22.2%) missing values	Missing
`ref_property` has 12672 (45.8%) missing values	Missing
`ref_house` has 13995 (50.6%) missing values	Missing
`ref_object` has 7885 (28.5%) missing values	Missing
`alternative_reference` has 27231 (98.5%) missing values	Missing
`price_display` has 1517 (5.5%) missing values	Missing
`price_display_type` has 1517 (5.5%) missing values	Missing
`rent_net` has 12433 (45.0%) missing values	Missing
`rent_charges` has 13988 (50.6%) missing values	Missing
`rent_gross` has 10400 (37.6%) missing values	Missing
`description_title` has 691 (2.5%) missing values	Missing
`description` has 943 (3.4%) missing values	Missing
`surface_living` has 11073 (40.0%) missing values	Missing
`surface_property` has 24232 (87.6%) missing values	Missing
`surface_usable` has 19599 (70.9%) missing values	Missing
`surface_usable_minimum` has 27319 (98.8%) missing values	Missing
`volume` has 24061 (87.0%) missing values	Missing
`space_display` has 5616 (20.3%) missing values	Missing
`number_of_rooms` has 9351 (33.8%) missing values	Missing
`floor` has 7885 (28.5%) missing values	Missing
`street` has 4637 (16.8%) missing values	Missing
`year_built` has 14588 (52.7%) missing values	Missing
`year_renovated` has 22187 (80.2%) missing values	Missing
`moving_date` has 19535 (70.6%) missing values	Missing
`video_url` has 27219 (98.4%) missing values	Missing
`tour_url` has 26071 (94.3%) missing values	Missing
`website_url` has 20044 (72.5%) missing values	Missing
`live_viewing_url` has 27654 (> 99.9%) missing values	Missing
`cover_image` has 562 (2.0%) missing values	Missing
`livingspace` has 5616 (20.3%) missing values	Missing
`surface_property` is highly skewed (γ1 = 22.75337458)	Skewed
`surface_usable` is highly skewed (γ1 = 21.03330719)	Skewed
`space_display` is highly skewed (γ1 = 90.8017854)	Skewed
`year_built` is highly skewed (γ1 = 114.2838607)	Skewed
`livingspace` is highly skewed (γ1 = 90.8017854)	Skewed
`pk` has unique values	Unique
`url` has unique values	Unique
`short_url` has unique values	Unique
`submit_url` has unique values	Unique
`rent_charges` has 1974 (7.1%) zeros	Zeros
`rent_gross` has 312 (1.1%) zeros	Zeros
`surface_property` has 651 (2.4%) zeros	Zeros
`surface_usable` has 1402 (5.1%) zeros	Zeros
`volume` has 2127 (7.7%) zeros	Zeros
`space_display` has 1235 (4.5%) zeros	Zeros
`floor` has 3501 (12.7%) zeros	Zeros
`year_renovated` has 285 (1.0%) zeros	Zeros
`livingspace` has 1235 (4.5%) zeros	Zeros

Reproduction

Analysis started	2024-07-03 12:11:20.706358
Analysis finished	2024-07-03 12:13:03.318850
Duration	1 minute and 42.61 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

pk
Real number (ℝ)

UNIQUE

Distinct	27657
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1127864.7

Minimum	26706
Maximum	1254486
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	26706
5-th percentile	729475.2
Q1	1104156
median	1204456
Q3	1235959
95-th percentile	1250801.4
Maximum	1254486
Range	1227780
Interquartile range (IQR)	131803

Descriptive statistics

Standard deviation	187244.52
Coefficient of variation (CV)	0.16601682
Kurtosis	8.6639084
Mean	1127864.7
Median Absolute Deviation (MAD)	39374
Skewness	-2.7202551
Sum	3.1193355 × 10¹⁰
Variance	3.506051 × 10¹⁰
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1254486	1	< 0.1%
26706	1	< 0.1%
33819	1	< 0.1%
44676	1	< 0.1%
46167	1	< 0.1%
51159	1	< 0.1%
56960	1	< 0.1%
58714	1	< 0.1%
58833	1	< 0.1%
1254315	1	< 0.1%
Other values (27647)	27647	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
26706	1	< 0.1%
33819	1	< 0.1%
44676	1	< 0.1%
46167	1	< 0.1%
51159	1	< 0.1%
56960	1	< 0.1%
58714	1	< 0.1%
58833	1	< 0.1%
58837	1	< 0.1%
62870	1	< 0.1%

Value	Count	Frequency (%)
1254486	1	< 0.1%
1254483	1	< 0.1%
1254479	1	< 0.1%
1254477	1	< 0.1%
1254475	1	< 0.1%
1254474	1	< 0.1%
1254471	1	< 0.1%
1254468	1	< 0.1%
1254467	1	< 0.1%
1254463	1	< 0.1%

slug
Text

Distinct	18709
Distinct (%)	67.6%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	50
Median length	42
Mean length	27.734136
Min length	7

Characters and Unicode

Total characters	767043
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14746 ?
Unique (%)	53.3%

Sample

1st row	parkstr-12-9430-st-margrethen-sg
2nd row	martha-ringier-strasse-5600-lenzburg
3rd row	sonnentalstrasse-10-8600-dubendorf
4th row	waldstrasse-5-9008-st-gallen
5th row	8005-zurich

Value	Count	Frequency (%)
1950-sion	93	0.3%
8004-zurich	56	0.2%
1958-uvrier	49	0.2%
1957-ardon	49	0.2%
3960-sierre	42	0.2%
8003-zurich	38	0.1%
8032-zurich	37	0.1%
9000-st-gallen	37	0.1%
1926-fully	33	0.1%
8050-zurich	33	0.1%
Other values (18699)	27190	98.3%

Most occurring characters

Value	Count	Frequency (%)
-	91864	12.0%
e	72081	9.4%
s	57554	7.5%
a	49713	6.5%
r	49268	6.4%
n	38424	5.0%
t	32202	4.2%
l	28755	3.7%
0	28127	3.7%
i	26777	3.5%
Other values (28)	292278	38.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	767043	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	91864	12.0%
e	72081	9.4%
s	57554	7.5%
a	49713	6.5%
r	49268	6.4%
n	38424	5.0%
t	32202	4.2%
l	28755	3.7%
0	28127	3.7%
i	26777	3.5%
Other values (28)	292278	38.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	767043	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	91864	12.0%
e	72081	9.4%
s	57554	7.5%
a	49713	6.5%
r	49268	6.4%
n	38424	5.0%
t	32202	4.2%
l	28755	3.7%
0	28127	3.7%
i	26777	3.5%
Other values (28)	292278	38.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	767043	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	91864	12.0%
e	72081	9.4%
s	57554	7.5%
a	49713	6.5%
r	49268	6.4%
n	38424	5.0%
t	32202	4.2%
l	28755	3.7%
0	28127	3.7%
i	26777	3.5%
Other values (28)	292278	38.1%

url
Text

UNIQUE

Distinct	27657
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	68
Median length	60
Mean length	45.583107
Min length	25

Characters and Unicode

Total characters	1260692
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27657 ?
Unique (%)	100.0%

Sample

1st row	/en/flat/parkstr-12-9430-st-margrethen-sg/26706/
2nd row	/en/flat/martha-ringier-strasse-5600-lenzburg/33819/
3rd row	/en/flat/sonnentalstrasse-10-8600-dubendorf/44676/
4th row	/en/flat/waldstrasse-5-9008-st-gallen/46167/
5th row	/en/flat/8005-zurich/51159/

Value	Count	Frequency (%)
en/flat/hochstrasse-37-4053-basel/65630	1	< 0.1%
en/flat/bahnhofplatz-13-8953-dietikon/1254486	1	< 0.1%
en/flat/parkstr-12-9430-st-margrethen-sg/26706	1	< 0.1%
en/flat/martha-ringier-strasse-5600-lenzburg/33819	1	< 0.1%
en/flat/sonnentalstrasse-10-8600-dubendorf/44676	1	< 0.1%
en/flat/waldstrasse-5-9008-st-gallen/46167	1	< 0.1%
en/flat/8005-zurich/51159	1	< 0.1%
en/flat/loft-valangines-2000-neuchatel/56960	1	< 0.1%
en/flat/bahnhofstrasse-2527-8280-kreuzlingen/58714	1	< 0.1%
en/flat/schrennengasse-14-8003-zurich/1254374	1	< 0.1%
Other values (27647)	27647	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
/	138285	11.0%
e	99738	7.9%
-	91864	7.3%
a	77370	6.1%
n	66081	5.2%
1	64005	5.1%
t	59859	4.7%
s	57554	4.6%
l	56412	4.5%
r	49268	3.9%
Other values (29)	500256	39.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1260692	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
/	138285	11.0%
e	99738	7.9%
-	91864	7.3%
a	77370	6.1%
n	66081	5.2%
1	64005	5.1%
t	59859	4.7%
s	57554	4.6%
l	56412	4.5%
r	49268	3.9%
Other values (29)	500256	39.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1260692	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
/	138285	11.0%
e	99738	7.9%
-	91864	7.3%
a	77370	6.1%
n	66081	5.2%
1	64005	5.1%
t	59859	4.7%
s	57554	4.6%
l	56412	4.5%
r	49268	3.9%
Other values (29)	500256	39.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1260692	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
/	138285	11.0%
e	99738	7.9%
-	91864	7.3%
a	77370	6.1%
n	66081	5.2%
1	64005	5.1%
t	59859	4.7%
s	57554	4.6%
l	56412	4.5%
r	49268	3.9%
Other values (29)	500256	39.7%

short_url
Text

UNIQUE

Distinct	27657
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	9
Median length	9
Mean length	8.8489713
Min length	7

Characters and Unicode

Total characters	244736
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27657 ?
Unique (%)	100.0%

Sample

1st row	/26706/
2nd row	/33819/
3rd row	/44676/
4th row	/46167/
5th row	/51159/

Value	Count	Frequency (%)
65630	1	< 0.1%
1254486	1	< 0.1%
26706	1	< 0.1%
33819	1	< 0.1%
44676	1	< 0.1%
46167	1	< 0.1%
51159	1	< 0.1%
56960	1	< 0.1%
58714	1	< 0.1%
1254374	1	< 0.1%
Other values (27647)	27647	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
/	55314	22.6%
1	43846	17.9%
2	28796	11.8%
0	16696	6.8%
4	16348	6.7%
3	15507	6.3%
9	14396	5.9%
8	14053	5.7%
5	13788	5.6%
7	13240	5.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	244736	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
/	55314	22.6%
1	43846	17.9%
2	28796	11.8%
0	16696	6.8%
4	16348	6.7%
3	15507	6.3%
9	14396	5.9%
8	14053	5.7%
5	13788	5.6%
7	13240	5.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	244736	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
/	55314	22.6%
1	43846	17.9%
2	28796	11.8%
0	16696	6.8%
4	16348	6.7%
3	15507	6.3%
9	14396	5.9%
8	14053	5.7%
5	13788	5.6%
7	13240	5.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	244736	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
/	55314	22.6%
1	43846	17.9%
2	28796	11.8%
0	16696	6.8%
4	16348	6.7%
3	15507	6.3%
9	14396	5.9%
8	14053	5.7%
5	13788	5.6%
7	13240	5.4%

submit_url
Text

UNIQUE

Distinct	27657
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	27
Median length	27
Mean length	26.848971
Min length	25

Characters and Unicode

Total characters	742562
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27657 ?
Unique (%)	100.0%

Sample

1st row	/en/listing/26706/submit/
2nd row	/en/listing/33819/submit/
3rd row	/en/listing/44676/submit/
4th row	/en/listing/46167/submit/
5th row	/en/listing/51159/submit/

Value	Count	Frequency (%)
en/listing/65630/submit	1	< 0.1%
en/listing/1254486/submit	1	< 0.1%
en/listing/26706/submit	1	< 0.1%
en/listing/33819/submit	1	< 0.1%
en/listing/44676/submit	1	< 0.1%
en/listing/46167/submit	1	< 0.1%
en/listing/51159/submit	1	< 0.1%
en/listing/56960/submit	1	< 0.1%
en/listing/58714/submit	1	< 0.1%
en/listing/1254374/submit	1	< 0.1%
Other values (27647)	27647	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
/	138285	18.6%
i	82971	11.2%
n	55314	7.4%
t	55314	7.4%
s	55314	7.4%
1	43846	5.9%
2	28796	3.9%
l	27657	3.7%
e	27657	3.7%
g	27657	3.7%
Other values (11)	199751	26.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	742562	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
/	138285	18.6%
i	82971	11.2%
n	55314	7.4%
t	55314	7.4%
s	55314	7.4%
1	43846	5.9%
2	28796	3.9%
l	27657	3.7%
e	27657	3.7%
g	27657	3.7%
Other values (11)	199751	26.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	742562	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
/	138285	18.6%
i	82971	11.2%
n	55314	7.4%
t	55314	7.4%
s	55314	7.4%
1	43846	5.9%
2	28796	3.9%
l	27657	3.7%
e	27657	3.7%
g	27657	3.7%
Other values (11)	199751	26.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	742562	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
/	138285	18.6%
i	82971	11.2%
n	55314	7.4%
t	55314	7.4%
s	55314	7.4%
1	43846	5.9%
2	28796	3.9%
l	27657	3.7%
e	27657	3.7%
g	27657	3.7%
Other values (11)	199751	26.9%

status
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

act	27657

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	82971
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	act
2nd row	act
3rd row	act
4th row	act
5th row	act

Common Values

Value	Count	Frequency (%)
act	27657	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
act	27657	100.0%

Most occurring characters

Value	Count	Frequency (%)
a	27657	33.3%
c	27657	33.3%
t	27657	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	82971	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	27657	33.3%
c	27657	33.3%
t	27657	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	82971	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	27657	33.3%
c	27657	33.3%
t	27657	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	82971	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	27657	33.3%
c	27657	33.3%
t	27657	33.3%

offer_type
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

RENT	22072
SALE	5585

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	110628
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RENT
2nd row	RENT
3rd row	RENT
4th row	RENT
5th row	RENT

Common Values

Value	Count	Frequency (%)
RENT	22072	79.8%
SALE	5585	20.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rent	22072	79.8%
sale	5585	20.2%

Most occurring characters

Value	Count	Frequency (%)
E	27657	25.0%
R	22072	20.0%
N	22072	20.0%
T	22072	20.0%
S	5585	5.0%
A	5585	5.0%
L	5585	5.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	110628	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	27657	25.0%
R	22072	20.0%
N	22072	20.0%
T	22072	20.0%
S	5585	5.0%
A	5585	5.0%
L	5585	5.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	110628	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	27657	25.0%
R	22072	20.0%
N	22072	20.0%
T	22072	20.0%
S	5585	5.0%
A	5585	5.0%
L	5585	5.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	110628	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	27657	25.0%
R	22072	20.0%
N	22072	20.0%
T	22072	20.0%
S	5585	5.0%
A	5585	5.0%
L	5585	5.0%

object_category
Categorical

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

APARTMENT	14551
INDUSTRY	4260
PARK	4030
HOUSE	2517
SHARED	1678
Other values (5)	621

Length

Max length	11
Median length	9
Mean length	7.5427921
Min length	4

Characters and Unicode

Total characters	208611
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	INDUSTRY
2nd row	PARK
3rd row	INDUSTRY
4th row	APARTMENT
5th row	SHARED

Common Values

Value	Count	Frequency (%)
APARTMENT	14551	52.6%
INDUSTRY	4260	15.4%
PARK	4030	14.6%
HOUSE	2517	9.1%
SHARED	1678	6.1%
PROPERTY	225	0.8%
SECONDARY	206	0.7%
GASTRO	187	0.7%
GARDEN	2	< 0.1%
AGRICULTURE	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
apartment	14551	52.6%
industry	4260	15.4%
park	4030	14.6%
house	2517	9.1%
shared	1678	6.1%
property	225	0.8%
secondary	206	0.7%
gastro	187	0.7%
garden	2	< 0.1%
agriculture	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
A	35206	16.9%
T	33775	16.2%
R	25366	12.2%
E	19180	9.2%
P	19031	9.1%
N	19019	9.1%
M	14551	7.0%
S	8848	4.2%
U	6779	3.2%
D	6146	2.9%
Other values (8)	20710	9.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	208611	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	35206	16.9%
T	33775	16.2%
R	25366	12.2%
E	19180	9.2%
P	19031	9.1%
N	19019	9.1%
M	14551	7.0%
S	8848	4.2%
U	6779	3.2%
D	6146	2.9%
Other values (8)	20710	9.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	208611	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	35206	16.9%
T	33775	16.2%
R	25366	12.2%
E	19180	9.2%
P	19031	9.1%
N	19019	9.1%
M	14551	7.0%
S	8848	4.2%
U	6779	3.2%
D	6146	2.9%
Other values (8)	20710	9.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	208611	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	35206	16.9%
T	33775	16.2%
R	25366	12.2%
E	19180	9.2%
P	19031	9.1%
N	19019	9.1%
M	14551	7.0%
S	8848	4.2%
U	6779	3.2%
D	6146	2.9%
Other values (8)	20710	9.9%

object_type
Text

Distinct	65
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	26
Median length	18
Mean length	9.8609755
Min length	3

Characters and Unicode

Total characters	272725
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	OFFICE
2nd row	GARAGE_SLOT
3rd row	ATELIER
4th row	SINGLE_ROOM
5th row	SHARED_FLAT

Value	Count	Frequency (%)
apartment	11922	43.1%
garage_slot	2409	8.7%
office	2091	7.6%
shared_flat	1678	6.1%
single_house	1392	5.0%
furnished_flat	1139	4.1%
open_slot	1056	3.8%
commercial	751	2.7%
storage_room	489	1.8%
shop	484	1.8%
Other values (55)	4246	15.4%

Most occurring characters

Value	Count	Frequency (%)
A	38633	14.2%
T	33864	12.4%
E	28881	10.6%
R	21765	8.0%
N	17046	6.3%
P	15165	5.6%
M	15023	5.5%
O	14031	5.1%
L	12452	4.6%
_	12270	4.5%
Other values (15)	63595	23.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	272725	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	38633	14.2%
T	33864	12.4%
E	28881	10.6%
R	21765	8.0%
N	17046	6.3%
P	15165	5.6%
M	15023	5.5%
O	14031	5.1%
L	12452	4.6%
_	12270	4.5%
Other values (15)	63595	23.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	272725	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	38633	14.2%
T	33864	12.4%
E	28881	10.6%
R	21765	8.0%
N	17046	6.3%
P	15165	5.6%
M	15023	5.5%
O	14031	5.1%
L	12452	4.6%
_	12270	4.5%
Other values (15)	63595	23.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	272725	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	38633	14.2%
T	33864	12.4%
E	28881	10.6%
R	21765	8.0%
N	17046	6.3%
P	15165	5.6%
M	15023	5.5%
O	14031	5.1%
L	12452	4.6%
_	12270	4.5%
Other values (15)	63595	23.3%

reference
Text

MISSING

Distinct	21528
Distinct (%)	100.0%
Missing	6129
Missing (%)	22.2%
Memory size	216.2 KiB

Length

Max length	116
Median length	99
Mean length	19.717066
Min length	3

Characters and Unicode

Total characters	424469
Distinct characters	89
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21528 ?
Unique (%)	100.0%

Sample

1st row	904250.01.40102
2nd row	194..0
3rd row	71.10 (L 00 02).9001
4th row	Bahnhofstrasse..Garage.308168.b2ac31f4-d78d-11e8-bb6c-a4bf01195aaa
5th row	Kirchweg..PPL.308154.abdd07cf-d78d-11e8-bb6c-a4bf01195aaa

Value	Count	Frequency (%)
apartment	185	0.8%
	131	0.5%
bedroom	79	0.3%
junior	74	0.3%
senior	52	0.2%
de	46	0.2%
im	43	0.2%
mini	38	0.2%
we	35	0.1%
og	34	0.1%
Other values (22155)	23428	97.0%

Most occurring characters

Value	Count	Frequency (%)
0	64718	15.2%
1	46312	10.9%
.	44990	10.6%
2	28374	6.7%
4	22669	5.3%
3	21920	5.2%
6	19601	4.6%
e	16816	4.0%
-	16546	3.9%
8	16195	3.8%
Other values (79)	126328	29.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	424469	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	64718	15.2%
1	46312	10.9%
.	44990	10.6%
2	28374	6.7%
4	22669	5.3%
3	21920	5.2%
6	19601	4.6%
e	16816	4.0%
-	16546	3.9%
8	16195	3.8%
Other values (79)	126328	29.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	424469	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	64718	15.2%
1	46312	10.9%
.	44990	10.6%
2	28374	6.7%
4	22669	5.3%
3	21920	5.2%
6	19601	4.6%
e	16816	4.0%
-	16546	3.9%
8	16195	3.8%
Other values (79)	126328	29.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	424469	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	64718	15.2%
1	46312	10.9%
.	44990	10.6%
2	28374	6.7%
4	22669	5.3%
3	21920	5.2%
6	19601	4.6%
e	16816	4.0%
-	16546	3.9%
8	16195	3.8%
Other values (79)	126328	29.8%

ref_property
Text

MISSING

Distinct	9173
Distinct (%)	61.2%
Missing	12672
Missing (%)	45.8%
Memory size	216.2 KiB

Length

Max length	61
Median length	58
Mean length	6.2908909
Min length	1

Characters and Unicode

Total characters	94269
Distinct characters	82
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6746 ?
Unique (%)	45.0%

Sample

1st row	904250
2nd row	194
3rd row	71
4th row	Bahnhofstrasse..Garage
5th row	Kirchweg..PPL

Value	Count	Frequency (%)
01	538	3.4%
1	115	0.7%
zurich	112	0.7%
	105	0.7%
vm100	73	0.5%
we	35	0.2%
lr_jgab	28	0.2%
2	22	0.1%
le	22	0.1%
3	22	0.1%
Other values (9379)	14885	93.3%

Most occurring characters

Value	Count	Frequency (%)
0	14166	15.0%
1	11571	12.3%
2	8970	9.5%
4	6261	6.6%
3	6215	6.6%
5	5433	5.8%
8	4691	5.0%
6	4684	5.0%
7	4401	4.7%
9	3751	4.0%
Other values (72)	24126	25.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	94269	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	14166	15.0%
1	11571	12.3%
2	8970	9.5%
4	6261	6.6%
3	6215	6.6%
5	5433	5.8%
8	4691	5.0%
6	4684	5.0%
7	4401	4.7%
9	3751	4.0%
Other values (72)	24126	25.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	94269	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	14166	15.0%
1	11571	12.3%
2	8970	9.5%
4	6261	6.6%
3	6215	6.6%
5	5433	5.8%
8	4691	5.0%
6	4684	5.0%
7	4401	4.7%
9	3751	4.0%
Other values (72)	24126	25.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	94269	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	14166	15.0%
1	11571	12.3%
2	8970	9.5%
4	6261	6.6%
3	6215	6.6%
5	5433	5.8%
8	4691	5.0%
6	4684	5.0%
7	4401	4.7%
9	3751	4.0%
Other values (72)	24126	25.6%

ref_house
Text

MISSING

Distinct	4300
Distinct (%)	31.5%
Missing	13995
Missing (%)	50.6%
Memory size	216.2 KiB

Length

Max length	71
Median length	2
Mean length	3.9509589
Min length	1

Characters and Unicode

Total characters	53978
Distinct characters	83
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3940 ?
Unique (%)	28.8%

Sample

1st row	01
2nd row	10 (L 00 02)
3rd row	308168
4th row	308154
5th row	308164

Value	Count	Frequency (%)
01	2846	19.8%
02	1090	7.6%
03	588	4.1%
1	460	3.2%
70	447	3.1%
04	364	2.5%
80	255	1.8%
05	243	1.7%
90	215	1.5%
06	172	1.2%
Other values (4391)	7681	53.5%

Most occurring characters

Value	Count	Frequency (%)
0	11072	20.5%
1	9821	18.2%
3	4281	7.9%
4	4273	7.9%
2	4217	7.8%
9	2558	4.7%
7	2459	4.6%
8	2346	4.3%
5	2285	4.2%
6	2244	4.2%
Other values (73)	8422	15.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	53978	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11072	20.5%
1	9821	18.2%
3	4281	7.9%
4	4273	7.9%
2	4217	7.8%
9	2558	4.7%
7	2459	4.6%
8	2346	4.3%
5	2285	4.2%
6	2244	4.2%
Other values (73)	8422	15.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	53978	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11072	20.5%
1	9821	18.2%
3	4281	7.9%
4	4273	7.9%
2	4217	7.8%
9	2558	4.7%
7	2459	4.6%
8	2346	4.3%
5	2285	4.2%
6	2244	4.2%
Other values (73)	8422	15.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	53978	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11072	20.5%
1	9821	18.2%
3	4281	7.9%
4	4273	7.9%
2	4217	7.8%
9	2558	4.7%
7	2459	4.6%
8	2346	4.3%
5	2285	4.2%
6	2244	4.2%
Other values (73)	8422	15.6%

ref_object
Text

MISSING

Distinct	12348
Distinct (%)	62.5%
Missing	7885
Missing (%)	28.5%
Memory size	216.2 KiB

Length

Max length	53
Median length	51
Mean length	11.792737
Min length	1

Characters and Unicode

Total characters	233166
Distinct characters	79
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11092 ?
Unique (%)	56.1%

Sample

1st row	40102
2nd row	0
3rd row	9001
4th row	b2ac31f4-d78d-11e8-bb6c-a4bf01195aaa
5th row	abdd07cf-d78d-11e8-bb6c-a4bf01195aaa

Value	Count	Frequency (%)
0001	203	1.0%
0201	192	0.9%
apartment	187	0.9%
0101	163	0.8%
0002	150	0.7%
0301	135	0.7%
0102	130	0.6%
0202	123	0.6%
0003	121	0.6%
studio	101	0.5%
Other values (12274)	19209	92.7%

Most occurring characters

Value	Count	Frequency (%)
0	39480	16.9%
1	24920	10.7%
2	15187	6.5%
e	13987	6.0%
-	13915	6.0%
6	12673	5.4%
4	12135	5.2%
a	11728	5.0%
3	11424	4.9%
8	9158	3.9%
Other values (69)	68559	29.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	233166	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	39480	16.9%
1	24920	10.7%
2	15187	6.5%
e	13987	6.0%
-	13915	6.0%
6	12673	5.4%
4	12135	5.2%
a	11728	5.0%
3	11424	4.9%
8	9158	3.9%
Other values (69)	68559	29.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	233166	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	39480	16.9%
1	24920	10.7%
2	15187	6.5%
e	13987	6.0%
-	13915	6.0%
6	12673	5.4%
4	12135	5.2%
a	11728	5.0%
3	11424	4.9%
8	9158	3.9%
Other values (69)	68559	29.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	233166	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	39480	16.9%
1	24920	10.7%
2	15187	6.5%
e	13987	6.0%
-	13915	6.0%
6	12673	5.4%
4	12135	5.2%
a	11728	5.0%
3	11424	4.9%
8	9158	3.9%
Other values (69)	68559	29.4%

alternative_reference
Text

MISSING

Distinct	395
Distinct (%)	92.7%
Missing	27231
Missing (%)	98.5%
Memory size	216.2 KiB

Length

Max length	113
Median length	64
Mean length	20.326291
Min length	1

Characters and Unicode

Total characters	8659
Distinct characters	89
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	375 ?
Unique (%)	88.0%

Sample

1st row	Grand Apartment Terrace
2nd row	1 Bedroom Apartment Senior Terrace
3rd row	2 Bedroom Apartment Junior Terrace
4th row	2 Bedroom Apartment Junior Balcony
5th row	2 Bedroom Apartment Senior Terrace

Value	Count	Frequency (%)
	40	3.2%
og	29	2.3%
im	28	2.2%
de	27	2.1%
nr	24	1.9%
2	23	1.8%
zimmerwohnung	14	1.1%
1	12	1.0%
büro	11	0.9%
apartment	11	0.9%
Other values (684)	1038	82.6%

Most occurring characters

Value	Count	Frequency (%)
	833	9.6%
e	693	8.0%
r	450	5.2%
n	394	4.6%
0	373	4.3%
t	357	4.1%
i	348	4.0%
a	344	4.0%
s	294	3.4%
1	268	3.1%
Other values (79)	4305	49.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8659	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	833	9.6%
e	693	8.0%
r	450	5.2%
n	394	4.6%
0	373	4.3%
t	357	4.1%
i	348	4.0%
a	344	4.0%
s	294	3.4%
1	268	3.1%
Other values (79)	4305	49.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8659	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	833	9.6%
e	693	8.0%
r	450	5.2%
n	394	4.6%
0	373	4.3%
t	357	4.1%
i	348	4.0%
a	344	4.0%
s	294	3.4%
1	268	3.1%
Other values (79)	4305	49.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8659	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	833	9.6%
e	693	8.0%
r	450	5.2%
n	394	4.6%
0	373	4.3%
t	357	4.1%
i	348	4.0%
a	344	4.0%
s	294	3.4%
1	268	3.1%
Other values (79)	4305	49.7%

price_display
Real number (ℝ)

MISSING

Distinct	3723
Distinct (%)	14.2%
Missing	1517
Missing (%)	5.5%
Infinite	0
Infinite (%)	0.0%
Mean	203911.78

Minimum	1
Maximum	28000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	1
5-th percentile	100
Q1	800
median	1750
Q3	3448.5
95-th percentile	1245000
Maximum	28000000
Range	27999999
Interquartile range (IQR)	2648.5

Descriptive statistics

Standard deviation	622819.09
Coefficient of variation (CV)	3.0543556
Kurtosis	270.01526
Mean	203911.78
Median Absolute Deviation (MAD)	1193
Skewness	10.592031
Sum	5.330254 × 10⁹
Variance	3.8790362 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120	453	1.6%
130	381	1.4%
150	367	1.3%
100	256	0.9%
50	220	0.8%
140	218	0.8%
110	187	0.7%
1500	170	0.6%
160	140	0.5%
250	140	0.5%
Other values (3713)	23608	85.4%
(Missing)	1517	5.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	11	< 0.1%
10	9	< 0.1%
15	6	< 0.1%
20	58	0.2%
21	1	< 0.1%
22	1	< 0.1%
25	32	0.1%
26	1	< 0.1%
27	1	< 0.1%
28	1	< 0.1%

Value	Count	Frequency (%)
28000000	1	< 0.1%
19000000	1	< 0.1%
16300000	1	< 0.1%
15000000	2	< 0.1%
12900000	1	< 0.1%
12500000	1	< 0.1%
12000000	1	< 0.1%
10900000	1	< 0.1%
10600000	1	< 0.1%
9564000	1	< 0.1%

price_display_type
Categorical

IMBALANCE MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1517
Missing (%)	5.5%
Memory size	216.2 KiB

TOTAL	25133
M2	1007

Length

Max length	5
Median length	5
Mean length	4.88443
Min length	2

Characters and Unicode

Total characters	127679
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TOTAL
2nd row	TOTAL
3rd row	TOTAL
4th row	TOTAL
5th row	TOTAL

Common Values

Value	Count	Frequency (%)
TOTAL	25133	90.9%
M2	1007	3.6%
(Missing)	1517	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
total	25133	96.1%
m2	1007	3.9%

Most occurring characters

Value	Count	Frequency (%)
T	50266	39.4%
O	25133	19.7%
A	25133	19.7%
L	25133	19.7%
M	1007	0.8%
2	1007	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	127679	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
T	50266	39.4%
O	25133	19.7%
A	25133	19.7%
L	25133	19.7%
M	1007	0.8%
2	1007	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	127679	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
T	50266	39.4%
O	25133	19.7%
A	25133	19.7%
L	25133	19.7%
M	1007	0.8%
2	1007	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	127679	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
T	50266	39.4%
O	25133	19.7%
A	25133	19.7%
L	25133	19.7%
M	1007	0.8%
2	1007	0.8%

price_unit
Categorical

IMBALANCE

Distinct	7
Distinct (%)	< 0.1%
Missing	134
Missing (%)	0.5%
Memory size	216.2 KiB

monthly	20716
sell	5501
yearlym2	1246
sellm2	43
yearly	9
Other values (2)	8

Length

Max length	8
Median length	7
Mean length	6.4432293
Min length	4

Characters and Unicode

Total characters	177337
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	monthly
2nd row	monthly
3rd row	monthly
4th row	monthly
5th row	monthly

Common Values

Value	Count	Frequency (%)
monthly	20716	74.9%
sell	5501	19.9%
yearlym2	1246	4.5%
sellm2	43	0.2%
yearly	9	< 0.1%
daily	7	< 0.1%
weekly	1	< 0.1%
(Missing)	134	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
monthly	20716	75.3%
sell	5501	20.0%
yearlym2	1246	4.5%
sellm2	43	0.2%
yearly	9	< 0.1%
daily	7	< 0.1%
weekly	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
l	33067	18.6%
y	23234	13.1%
m	22005	12.4%
o	20716	11.7%
t	20716	11.7%
n	20716	11.7%
h	20716	11.7%
e	6801	3.8%
s	5544	3.1%
2	1289	0.7%
Other values (6)	2533	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	177337	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	33067	18.6%
y	23234	13.1%
m	22005	12.4%
o	20716	11.7%
t	20716	11.7%
n	20716	11.7%
h	20716	11.7%
e	6801	3.8%
s	5544	3.1%
2	1289	0.7%
Other values (6)	2533	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	177337	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	33067	18.6%
y	23234	13.1%
m	22005	12.4%
o	20716	11.7%
t	20716	11.7%
n	20716	11.7%
h	20716	11.7%
e	6801	3.8%
s	5544	3.1%
2	1289	0.7%
Other values (6)	2533	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	177337	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	33067	18.6%
y	23234	13.1%
m	22005	12.4%
o	20716	11.7%
t	20716	11.7%
n	20716	11.7%
h	20716	11.7%
e	6801	3.8%
s	5544	3.1%
2	1289	0.7%
Other values (6)	2533	1.4%

rent_net
Real number (ℝ)

MISSING

Distinct	2305
Distinct (%)	15.1%
Missing	12433
Missing (%)	45.0%
Infinite	0
Infinite (%)	0.0%
Mean	1500.5416

Minimum	0
Maximum	56786
Zeros	22
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	0
5-th percentile	80
Q1	290
median	1330
Q3	1970
95-th percentile	3793.4
Maximum	56786
Range	56786
Interquartile range (IQR)	1680

Descriptive statistics

Standard deviation	1592.1356
Coefficient of variation (CV)	1.0610406
Kurtosis	175.16376
Mean	1500.5416
Median Absolute Deviation (MAD)	770
Skewness	7.596263
Sum	22844246
Variance	2534895.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120	353	1.3%
130	306	1.1%
150	268	1.0%
100	190	0.7%
140	171	0.6%
1200	153	0.6%
1300	148	0.5%
50	145	0.5%
110	144	0.5%
1500	142	0.5%
Other values (2295)	13204	47.7%
(Missing)	12433	45.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	22	0.1%
1	1	< 0.1%
10	8	< 0.1%
13	1	< 0.1%
15	5	< 0.1%
18	2	< 0.1%
20	53	0.2%
25	29	0.1%
26	1	< 0.1%
27	1	< 0.1%

Value	Count	Frequency (%)
56786	1	< 0.1%
49450	1	< 0.1%
30000	1	< 0.1%
27155	1	< 0.1%
22000	1	< 0.1%
20105	1	< 0.1%
20000	1	< 0.1%
19390	1	< 0.1%
18493	1	< 0.1%
18000	1	< 0.1%

rent_charges
Real number (ℝ)

MISSING ZEROS

Distinct	508
Distinct (%)	3.7%
Missing	13988
Missing (%)	50.6%
Infinite	0
Infinite (%)	0.0%
Mean	197.26293

Minimum	0
Maximum	10750
Zeros	1974
Zeros (%)	7.1%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	95
median	200
Q3	270
95-th percentile	420
Maximum	10750
Range	10750
Interquartile range (IQR)	175

Descriptive statistics

Standard deviation	197.69174
Coefficient of variation (CV)	1.0021738
Kurtosis	666.75403
Mean	197.26293
Median Absolute Deviation (MAD)	83
Skewness	15.423192
Sum	2696387
Variance	39082.023
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1974	7.1%
200	1070	3.9%
250	854	3.1%
150	672	2.4%
300	635	2.3%
220	387	1.4%
180	365	1.3%
100	336	1.2%
240	312	1.1%
230	303	1.1%
Other values (498)	6761	24.4%
(Missing)	13988	50.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1974	7.1%
1	10	< 0.1%
2	7	< 0.1%
3	5	< 0.1%
4	3	< 0.1%
5	83	0.3%
6	1	< 0.1%
7	11	< 0.1%
8	7	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
10750	1	< 0.1%
5753	1	< 0.1%
3900	1	< 0.1%
3010	1	< 0.1%
3000	1	< 0.1%
2560	1	< 0.1%
2500	1	< 0.1%
2494	1	< 0.1%
2400	1	< 0.1%
2378	1	< 0.1%

rent_gross
Real number (ℝ)

MISSING ZEROS

Distinct	2418
Distinct (%)	14.0%
Missing	10400
Missing (%)	37.6%
Infinite	0
Infinite (%)	0.0%
Mean	1483.7558

Minimum	0
Maximum	62539
Zeros	312
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	0
5-th percentile	50
Q1	250
median	1410
Q3	2050
95-th percentile	3570
Maximum	62539
Range	62539
Interquartile range (IQR)	1800

Descriptive statistics

Standard deviation	1463.4517
Coefficient of variation (CV)	0.98631576
Kurtosis	200.73715
Mean	1483.7558
Median Absolute Deviation (MAD)	810
Skewness	7.044555
Sum	25605174
Variance	2141691
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120	405	1.5%
130	346	1.3%
150	329	1.2%
0	312	1.1%
100	230	0.8%
50	197	0.7%
140	194	0.7%
110	175	0.6%
1500	143	0.5%
60	131	0.5%
Other values (2408)	14795	53.5%
(Missing)	10400	37.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	312	1.1%
1	6	< 0.1%
10	9	< 0.1%
15	5	< 0.1%
20	56	0.2%
22	1	< 0.1%
25	29	0.1%
26	1	< 0.1%
27	1	< 0.1%
28	1	< 0.1%

Value	Count	Frequency (%)
62539	1	< 0.1%
30000	1	< 0.1%
25000	1	< 0.1%
20500	1	< 0.1%
20000	1	< 0.1%
17520	1	< 0.1%
17302	1	< 0.1%
17114	1	< 0.1%
17035	1	< 0.1%
15000	2	< 0.1%

short_title
Text

Distinct	2343
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	35
Median length	33
Mean length	17.407456
Min length	4

Characters and Unicode

Total characters	481438
Distinct characters	56
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1373 ?
Unique (%)	5.0%

Sample

1st row	127m² office
2nd row	Underground slot
3rd row	119m² atelier
4th row	1 room single room
5th row	Room in a shared flat

Value	Count	Frequency (%)
rooms	15832	16.7%
½	12418	13.1%
apartment	11922	12.6%
3	5045	5.3%
4	4041	4.3%
flat	3595	3.8%
slot	3485	3.7%
2	3171	3.3%
room	3167	3.3%
underground	2409	2.5%
Other values (1076)	29572	31.2%

Most occurring characters

Value	Count	Frequency (%)
	67000	13.9%
o	51704	10.7%
r	40781	8.5%
m	37567	7.8%
a	34848	7.2%
t	33846	7.0%
e	28458	5.9%
s	27045	5.6%
n	23556	4.9%
p	14702	3.1%
Other values (46)	121931	25.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	481438	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	67000	13.9%
o	51704	10.7%
r	40781	8.5%
m	37567	7.8%
a	34848	7.2%
t	33846	7.0%
e	28458	5.9%
s	27045	5.6%
n	23556	4.9%
p	14702	3.1%
Other values (46)	121931	25.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	481438	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	67000	13.9%
o	51704	10.7%
r	40781	8.5%
m	37567	7.8%
a	34848	7.2%
t	33846	7.0%
e	28458	5.9%
s	27045	5.6%
n	23556	4.9%
p	14702	3.1%
Other values (46)	121931	25.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	481438	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	67000	13.9%
o	51704	10.7%
r	40781	8.5%
m	37567	7.8%
a	34848	7.2%
t	33846	7.0%
e	28458	5.9%
s	27045	5.6%
n	23556	4.9%
p	14702	3.1%
Other values (46)	121931	25.3%

public_title
Text

Distinct	26217
Distinct (%)	94.8%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	118
Median length	95
Mean length	60.729219
Min length	19

Characters and Unicode

Total characters	1679588
Distinct characters	119
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	25182 ?
Unique (%)	91.1%

Sample

1st row	Parkstr. 12, 9430 St. Margrethen SG - by request
2nd row	Martha Ringier-Strasse, 5600 Lenzburg - CHF 130 excl. utilities per month
3rd row	Sonnentalstrasse 10, 8600 Dübendorf - CHF 2’325 incl. utilities per month
4th row	Waldstrasse 5, 9008 St. Gallen - CHF 610 incl. utilities per month
5th row	8005 Zürich - CHF 1’350 incl. utilities per month

Value	Count	Frequency (%)
	29155	10.2%
chf	26140	9.2%
utilities	21040	7.4%
per	21040	7.4%
month	20061	7.1%
incl	19648	6.9%
zürich	2145	0.8%
request	1517	0.5%
by	1517	0.5%
de	1478	0.5%
Other values (17481)	140772	49.5%

Most occurring characters

Value	Count	Frequency (%)
	256909	15.3%
e	115684	6.9%
i	108662	6.5%
t	94503	5.6%
n	76837	4.6%
s	72770	4.3%
0	68003	4.0%
r	67972	4.0%
l	66476	4.0%
a	42363	2.5%
Other values (109)	709409	42.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1679588	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	256909	15.3%
e	115684	6.9%
i	108662	6.5%
t	94503	5.6%
n	76837	4.6%
s	72770	4.3%
0	68003	4.0%
r	67972	4.0%
l	66476	4.0%
a	42363	2.5%
Other values (109)	709409	42.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1679588	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	256909	15.3%
e	115684	6.9%
i	108662	6.5%
t	94503	5.6%
n	76837	4.6%
s	72770	4.3%
0	68003	4.0%
r	67972	4.0%
l	66476	4.0%
a	42363	2.5%
Other values (109)	709409	42.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1679588	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	256909	15.3%
e	115684	6.9%
i	108662	6.5%
t	94503	5.6%
n	76837	4.6%
s	72770	4.3%
0	68003	4.0%
r	67972	4.0%
l	66476	4.0%
a	42363	2.5%
Other values (109)	709409	42.2%

pitch_title
Text

Distinct	15298
Distinct (%)	55.3%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	90
Median length	59
Mean length	36.500597
Min length	17

Characters and Unicode

Total characters	1009497
Distinct characters	102
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12180 ?
Unique (%)	44.0%

Sample

1st row	Rent a 127m² office in St. Margrethen SG
2nd row	Rent a underground slot in Lenzburg
3rd row	Rent a 119m² atelier in Dübendorf
4th row	Rent a 1 room single room in St. Gallen
5th row	Rent a room in a shared flat in Zürich

Value	Count	Frequency (%)
a	29338	14.0%
in	29335	14.0%
rent	22072	10.5%
rooms	15832	7.6%
½	12418	5.9%
apartment	11922	5.7%
buy	5585	2.7%
3	5045	2.4%
4	4041	1.9%
flat	3595	1.7%
Other values (3691)	70353	33.6%

Most occurring characters

Value	Count	Frequency (%)
	181881	18.0%
n	94338	9.3%
a	76341	7.6%
e	75573	7.5%
t	65118	6.5%
o	61269	6.1%
r	58575	5.8%
i	53119	5.3%
m	39627	3.9%
s	37190	3.7%
Other values (92)	266466	26.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1009497	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	181881	18.0%
n	94338	9.3%
a	76341	7.6%
e	75573	7.5%
t	65118	6.5%
o	61269	6.1%
r	58575	5.8%
i	53119	5.3%
m	39627	3.9%
s	37190	3.7%
Other values (92)	266466	26.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1009497	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	181881	18.0%
n	94338	9.3%
a	76341	7.6%
e	75573	7.5%
t	65118	6.5%
o	61269	6.1%
r	58575	5.8%
i	53119	5.3%
m	39627	3.9%
s	37190	3.7%
Other values (92)	266466	26.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1009497	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	181881	18.0%
n	94338	9.3%
a	76341	7.6%
e	75573	7.5%
t	65118	6.5%
o	61269	6.1%
r	58575	5.8%
i	53119	5.3%
m	39627	3.9%
s	37190	3.7%
Other values (92)	266466	26.4%

description_title
Text

MISSING

Distinct	23385
Distinct (%)	86.7%
Missing	691
Missing (%)	2.5%
Memory size	216.2 KiB

Length

Max length	314
Median length	159
Mean length	43.242565
Min length	1

Characters and Unicode

Total characters	1166079
Distinct characters	176
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21741 ?
Unique (%)	80.6%

Sample

1st row	Repräsentativer Büro- oder Praxisraum von ca. 127m2
2nd row	PARKPLATZKONTINGENT IN LENZBURG
3rd row	Hochwertiges Atelier Hochbord Dübendorf
4th row	Möbiliertes WG Zimmer zum fairen Preis
5th row	Furnished room with morning sun

Value	Count	Frequency (%)
in	6496	3.9%
	4964	3.0%
mit	3677	2.2%
de	3173	1.9%
im	2567	1.6%
zu	2410	1.5%
vermieten	2213	1.3%
und	2139	1.3%
wohnung	1960	1.2%
an	1783	1.1%
Other values (14112)	133421	81.0%

Most occurring characters

Value	Count	Frequency (%)
	138176	11.8%
e	116696	10.0%
n	74263	6.4%
i	64272	5.5%
r	61609	5.3%
t	53417	4.6%
a	53150	4.6%
u	38357	3.3%
l	36797	3.2%
m	36248	3.1%
Other values (166)	493094	42.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1166079	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	138176	11.8%
e	116696	10.0%
n	74263	6.4%
i	64272	5.5%
r	61609	5.3%
t	53417	4.6%
a	53150	4.6%
u	38357	3.3%
l	36797	3.2%
m	36248	3.1%
Other values (166)	493094	42.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1166079	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	138176	11.8%
e	116696	10.0%
n	74263	6.4%
i	64272	5.5%
r	61609	5.3%
t	53417	4.6%
a	53150	4.6%
u	38357	3.3%
l	36797	3.2%
m	36248	3.1%
Other values (166)	493094	42.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1166079	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	138176	11.8%
e	116696	10.0%
n	74263	6.4%
i	64272	5.5%
r	61609	5.3%
t	53417	4.6%
a	53150	4.6%
u	38357	3.3%
l	36797	3.2%
m	36248	3.1%
Other values (166)	493094	42.3%

description
Text

MISSING

Distinct	25585
Distinct (%)	95.8%
Missing	943
Missing (%)	3.4%
Memory size	216.2 KiB

Length

Max length	9921
Median length	2629
Mean length	1071.8127
Min length	1

Characters and Unicode

Total characters	28632404
Distinct characters	362
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24906 ?
Unique (%)	93.2%

Sample

1st row	Grosszügiger und Lichtdurchfluteter Büro-/ Praxisraum in unmittelbarerer Nähe zum Bahnhof St. Margrethen. Aufgrund der idealen Lage, bietet der Standort auch einen zentralen Anschluss an die Autobahn sowie zahlreiche Verpflegungsmöglichkeiten. * Flexible, nutzerspezifische Raumeinteilung möglich * Hochwertiger Ausbaustandard * Deckenelemente für Lüftung und Kühlung * Eigene Toilette * Büroküche * Für technische Installationen "doppelter" Boden * Lift * Tiefe HK-/NK-Kosten (Minergie) * Parkplätze können dazu gemietet werden CHF 60.00/Mt. * Archivräume (ca. 8qm) können dazu gemietet werden CHF 56.00/Mt. * Verfügbar nach Vereinbarung * Mietzins auf Anfrage Haben wir Ihr Interesse geweckt so zögern Sie nicht uns für einen Besichtigungstermin zu kontaktieren.
2nd row	Diverse Einstellhallenparkplätze zentral in Lenzburg zu vermieten! Sie benötigen kurz- oder langfristig Parkplätze? Oder Sie benötigen für ein grösseres Projekt wie einen Umbau ausreichend Parkmöglichkeiten? Wir bieten Ihnen einzelne oder mehrere Parkplätze in der Einstellhalle an. Diese können ab CHF 130.00 pro Monat gemietet werden.
3rd row	Nach Vereinbarung vermieten wir im äusserst modernen Gebäudekomplex Hochbord dieses Atelier. Das Atelier mit insgesamt 119 m2 bietet Ihnen folgende Vorzüge: * Eigene Toilette * Bodenheizung in allen Räumen * Zwei einzelne Büroräume * Glattalbahn/ Ringwiesen in unmittelbarer Nähe * Bahnhof Stettbach in Gehdistanz * Autobahnanschluss in 3 Fahrminuten Dieses Atelier eignet sich ausgezeichnet für verschiedene Nutzungen, als Büro, Verkaufsraum u.v.a.m. Prägen Sie das Hochbord mit Ihrem Businesskonzept - wir sind gespannt darauf. Haben wir Interesse geweckt? Dann freuen wir uns schon auf Ihre Kontaktanfrage über das Kontaktformular!
4th row	In dieser sehr schönen Wohnung vermieten wir drei möbilierte WG- Zimmer. Das Haus liegt im grünen aber trotzdem nur 2min von der Bushaltestelle entfernt, der direkt zur Uni und ins Zentrum fährt.
5th row	I am looking for a buoyant, easygoing person, who is looking for such a one co-habit with me (f, 50, author and therapist),my daughter (16) and our very cuddly cat. Our beautiful and very spacious 5,5 Duplex-Apartment (177m2, parquet flooring, own washing machine and dryer, 3 bathrooms, balcony and a huge roof-terrace) is situated in the new trend quarter Westside at Escherwyssplatz – very centric and still surprisingly quite. Your room: Furnished, around 18m2 and very bright (huge window, entering morning sun.

Value	Count	Frequency (%)
	170789	4.4%
und	95531	2.4%
de	57923	1.5%
mit	55095	1.4%
die	53368	1.4%
in	50843	1.3%
der	42694	1.1%
sie	36761	0.9%
für	30104	0.8%
im	25791	0.7%
Other values (98993)	3303229	84.2%

Most occurring characters

Value	Count	Frequency (%)
	4601001	16.1%
e	3255087	11.4%
n	1942523	6.8%
i	1672186	5.8%
r	1466089	5.1%
t	1424617	5.0%
a	1264369	4.4%
s	1228618	4.3%
u	946952	3.3%
o	837961	2.9%
Other values (352)	9993001	34.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	28632404	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	4601001	16.1%
e	3255087	11.4%
n	1942523	6.8%
i	1672186	5.8%
r	1466089	5.1%
t	1424617	5.0%
a	1264369	4.4%
s	1228618	4.3%
u	946952	3.3%
o	837961	2.9%
Other values (352)	9993001	34.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	28632404	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	4601001	16.1%
e	3255087	11.4%
n	1942523	6.8%
i	1672186	5.8%
r	1466089	5.1%
t	1424617	5.0%
a	1264369	4.4%
s	1228618	4.3%
u	946952	3.3%
o	837961	2.9%
Other values (352)	9993001	34.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	28632404	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	4601001	16.1%
e	3255087	11.4%
n	1942523	6.8%
i	1672186	5.8%
r	1466089	5.1%
t	1424617	5.0%
a	1264369	4.4%
s	1228618	4.3%
u	946952	3.3%
o	837961	2.9%
Other values (352)	9993001	34.9%

surface_living
Real number (ℝ)

MISSING

Distinct	457
Distinct (%)	2.8%
Missing	11073
Missing (%)	40.0%
Infinite	0
Infinite (%)	0.0%
Mean	99.741136

Minimum	0
Maximum	3084
Zeros	147
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	0
5-th percentile	18
Q1	61
median	86
Q3	120
95-th percentile	210
Maximum	3084
Range	3084
Interquartile range (IQR)	59

Descriptive statistics

Standard deviation	81.816745
Coefficient of variation (CV)	0.82029088
Kurtosis	163.26695
Mean	99.741136
Median Absolute Deviation (MAD)	28
Skewness	7.9065889
Sum	1654107
Variance	6693.9797
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	397	1.4%
100	376	1.4%
80	369	1.3%
90	346	1.3%
75	293	1.1%
120	287	1.0%
85	270	1.0%
60	266	1.0%
65	253	0.9%
110	229	0.8%
Other values (447)	13498	48.8%
(Missing)	11073	40.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	147	0.5%
1	1	< 0.1%
8	6	< 0.1%
9	9	< 0.1%
10	48	0.2%
11	31	0.1%
12	84	0.3%
13	54	0.2%
14	103	0.4%
15	112	0.4%

Value	Count	Frequency (%)
3084	1	< 0.1%
1707	1	< 0.1%
1655	1	< 0.1%
1630	1	< 0.1%
1392	1	< 0.1%
1337	1	< 0.1%
1275	1	< 0.1%
1254	1	< 0.1%
1200	1	< 0.1%
1152	1	< 0.1%

surface_property
Real number (ℝ)

MISSING SKEWED ZEROS

Distinct	1277
Distinct (%)	37.3%
Missing	24232
Missing (%)	87.6%
Infinite	0
Infinite (%)	0.0%
Mean	784.67328

Minimum	0
Maximum	90000
Zeros	651
Zeros (%)	2.4%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	94
median	426
Q3	856
95-th percentile	2284
Maximum	90000
Range	90000
Interquartile range (IQR)	762

Descriptive statistics

Standard deviation	2461.0398
Coefficient of variation (CV)	3.1363879
Kurtosis	692.55006
Mean	784.67328
Median Absolute Deviation (MAD)	367
Skewness	22.753375
Sum	2687506
Variance	6056716.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	651	2.4%
500	25	0.1%
1000	23	0.1%
100	21	0.1%
400	20	0.1%
200	19	0.1%
300	18	0.1%
150	17	0.1%
600	15	0.1%
250	14	0.1%
Other values (1267)	2602	9.4%
(Missing)	24232	87.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	651	2.4%
1	4	< 0.1%
2	2	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	2	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
12	2	< 0.1%

Value	Count	Frequency (%)
90000	1	< 0.1%
66596	1	< 0.1%
40000	1	< 0.1%
35048	1	< 0.1%
27000	1	< 0.1%
26456	1	< 0.1%
24521	1	< 0.1%
15182	1	< 0.1%
11475	1	< 0.1%
10267	1	< 0.1%

surface_usable
Real number (ℝ)

MISSING SKEWED ZEROS

Distinct	762
Distinct (%)	9.5%
Missing	19599
Missing (%)	70.9%
Infinite	0
Infinite (%)	0.0%
Mean	172.40072

Minimum	0
Maximum	23000
Zeros	1402
Zeros (%)	5.1%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	14
median	81
Q3	163
95-th percentile	550
Maximum	23000
Range	23000
Interquartile range (IQR)	149

Descriptive statistics

Standard deviation	557.40949
Coefficient of variation (CV)	3.2332202
Kurtosis	671.82185
Mean	172.40072
Median Absolute Deviation (MAD)	69
Skewness	21.033307
Sum	1389205
Variance	310705.34
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1402	5.1%
12	204	0.7%
100	145	0.5%
120	96	0.3%
13	93	0.3%
80	90	0.3%
14	90	0.3%
70	88	0.3%
90	87	0.3%
50	74	0.3%
Other values (752)	5689	20.6%
(Missing)	19599	70.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1402	5.1%
1	17	0.1%
2	29	0.1%
3	14	0.1%
4	10	< 0.1%
5	10	< 0.1%
6	20	0.1%
7	22	0.1%
8	25	0.1%
9	18	0.1%

Value	Count	Frequency (%)
23000	1	< 0.1%
18600	1	< 0.1%
18000	1	< 0.1%
11000	1	< 0.1%
8033	1	< 0.1%
8000	2	< 0.1%
6616	1	< 0.1%
6500	1	< 0.1%
5443	2	< 0.1%
5421	1	< 0.1%

surface_usable_minimum
Real number (ℝ)

MISSING

Distinct	129
Distinct (%)	38.2%
Missing	27319
Missing (%)	98.8%
Infinite	0
Infinite (%)	0.0%
Mean	114.27811

Minimum	5
Maximum	1582
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	5
5-th percentile	12
Q1	24.25
median	65
Q3	124.75
95-th percentile	306
Maximum	1582
Range	1577
Interquartile range (IQR)	100.5

Descriptive statistics

Standard deviation	180.75839
Coefficient of variation (CV)	1.5817412
Kurtosis	27.148119
Mean	114.27811
Median Absolute Deviation (MAD)	45
Skewness	4.7072285
Sum	38626
Variance	32673.596
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	18	0.1%
12	13	< 0.1%
80	11	< 0.1%
100	10	< 0.1%
50	10	< 0.1%
16	9	< 0.1%
18	9	< 0.1%
60	9	< 0.1%
90	8	< 0.1%
75	8	< 0.1%
Other values (119)	233	0.8%
(Missing)	27319	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
8	4	< 0.1%
9	1	< 0.1%
10	3	< 0.1%
11	4	< 0.1%
12	13	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
15	7	< 0.1%
16	9	< 0.1%

Value	Count	Frequency (%)
1582	1	< 0.1%
1265	1	< 0.1%
1200	1	< 0.1%
1100	1	< 0.1%
1099	1	< 0.1%
980	1	< 0.1%
785	1	< 0.1%
600	1	< 0.1%
585	1	< 0.1%
519	1	< 0.1%

volume
Real number (ℝ)

MISSING ZEROS

Distinct	917
Distinct (%)	25.5%
Missing	24061
Missing (%)	87.0%
Infinite	0
Infinite (%)	0.0%
Mean	508.7475

Minimum	0
Maximum	56232
Zeros	2127
Zeros (%)	7.7%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	757.25
95-th percentile	1841.5
Maximum	56232
Range	56232
Interquartile range (IQR)	757.25

Descriptive statistics

Standard deviation	1518.8184
Coefficient of variation (CV)	2.9854072
Kurtosis	541.55045
Mean	508.7475
Median Absolute Deviation (MAD)	0
Skewness	17.707784
Sum	1829456
Variance	2306809.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2127	7.7%
800	14	0.1%
850	13	< 0.1%
900	11	< 0.1%
500	10	< 0.1%
700	9	< 0.1%
180	9	< 0.1%
780	9	< 0.1%
840	8	< 0.1%
860	7	< 0.1%
Other values (907)	1379	5.0%
(Missing)	24061	87.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2127	7.7%
3	2	< 0.1%
8	2	< 0.1%
10	1	< 0.1%
16	1	< 0.1%
18	1	< 0.1%
20	1	< 0.1%
24	1	< 0.1%
25	2	< 0.1%
28	1	< 0.1%

Value	Count	Frequency (%)
56232	1	< 0.1%
21567	1	< 0.1%
19742	1	< 0.1%
18000	1	< 0.1%
17777	1	< 0.1%
15910	1	< 0.1%
15528	1	< 0.1%
13135	1	< 0.1%
11587	1	< 0.1%
11409	2	< 0.1%

space_display
Real number (ℝ)

MISSING SKEWED ZEROS

Distinct	928
Distinct (%)	4.2%
Missing	5616
Missing (%)	20.3%
Infinite	0
Infinite (%)	0.0%
Mean	142.57652

Minimum	0
Maximum	90000
Zeros	1235
Zeros (%)	4.5%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	54
median	86
Q3	128
95-th percentile	335
Maximum	90000
Range	90000
Interquartile range (IQR)	74

Descriptive statistics

Standard deviation	724.20738
Coefficient of variation (CV)	5.0794296
Kurtosis	10846.974
Mean	142.57652
Median Absolute Deviation (MAD)	36
Skewness	90.801785
Sum	3142529
Variance	524476.32
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1235	4.5%
100	441	1.6%
70	430	1.6%
80	401	1.4%
90	372	1.3%
120	328	1.2%
75	320	1.2%
60	301	1.1%
85	282	1.0%
65	280	1.0%
Other values (918)	17651	63.8%
(Missing)	5616	20.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1235	4.5%
1	17	0.1%
2	28	0.1%
3	13	< 0.1%
4	10	< 0.1%
5	6	< 0.1%
6	14	0.1%
7	17	0.1%
8	29	0.1%
9	23	0.1%

Value	Count	Frequency (%)
90000	1	< 0.1%
23000	1	< 0.1%
18600	1	< 0.1%
18000	1	< 0.1%
11475	1	< 0.1%
11000	1	< 0.1%
10267	1	< 0.1%
8033	1	< 0.1%
8000	2	< 0.1%
6629	1	< 0.1%

number_of_rooms
Real number (ℝ)

MISSING

Distinct	50
Distinct (%)	0.3%
Missing	9351
Missing (%)	33.8%
Infinite	0
Infinite (%)	0.0%
Mean	3.5861466

Minimum	1
Maximum	75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2.5
median	3.5
Q3	4.5
95-th percentile	6.5
Maximum	75
Range	74
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.1418317
Coefficient of variation (CV)	0.59725158
Kurtosis	126.80191
Mean	3.5861466
Median Absolute Deviation (MAD)	1
Skewness	5.9453982
Sum	65648
Variance	4.5874431
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.5	3929	14.2%
4.5	3321	12.0%
1	2474	8.9%
2.5	2401	8.7%
5.5	1348	4.9%
3	1116	4.0%
2	770	2.8%
4	720	2.6%
1.5	629	2.3%
6.5	459	1.7%
Other values (40)	1139	4.1%
(Missing)	9351	33.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2474	8.9%
1.5	629	2.3%
2	770	2.8%
2.5	2401	8.7%
3	1116	4.0%
3.5	3929	14.2%
4	720	2.6%
4.5	3321	12.0%
5	228	0.8%
5.5	1348	4.9%

Value	Count	Frequency (%)
75	1	< 0.1%
64	1	< 0.1%
45	1	< 0.1%
33	1	< 0.1%
32	1	< 0.1%
30	1	< 0.1%
28	2	< 0.1%
27.5	1	< 0.1%
25	3	< 0.1%
24	6	< 0.1%

floor
Real number (ℝ)

MISSING ZEROS

Distinct	33
Distinct (%)	0.2%
Missing	7885
Missing (%)	28.5%
Infinite	0
Infinite (%)	0.0%
Mean	1.6139996

Minimum	-8
Maximum	31
Zeros	3501
Zeros (%)	12.7%
Negative	2390
Negative (%)	8.6%
Memory size	216.2 KiB

Quantile statistics

Minimum	-8
5-th percentile	-1
Q1	0
median	1
Q3	3
95-th percentile	5
Maximum	31
Range	39
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.1987168
Coefficient of variation (CV)	1.3622784
Kurtosis	13.451046
Mean	1.6139996
Median Absolute Deviation (MAD)	1
Skewness	2.1838679
Sum	31912
Variance	4.8343556
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
1	4562	16.5%
2	4048	14.6%
0	3501	12.7%
3	2631	9.5%
-1	1932	7.0%
4	1296	4.7%
5	636	2.3%
-2	320	1.2%
6	277	1.0%
7	121	0.4%
Other values (23)	448	1.6%
(Missing)	7885	28.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-8	2	< 0.1%
-6	2	< 0.1%
-5	7	< 0.1%
-4	46	0.2%
-3	81	0.3%
-2	320	1.2%
-1	1932	7.0%
0	3501	12.7%
1	4562	16.5%
2	4048	14.6%

Value	Count	Frequency (%)
31	1	< 0.1%
25	1	< 0.1%
24	3	< 0.1%
23	3	< 0.1%
22	2	< 0.1%
21	2	< 0.1%
19	6	< 0.1%
18	8	< 0.1%
17	4	< 0.1%
16	11	< 0.1%

attributes
Text

Distinct	7593
Distinct (%)	27.5%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	508
Median length	368
Mean length	69.271215
Min length	2

Characters and Unicode

Total characters	1915834
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6029 ?
Unique (%)	21.8%

Sample

1st row	[{'name': 'petsallowed'}, {'name': 'view'}]
2nd row	[]
3rd row	[{'name': 'lift'}, {'name': 'garage'}]
4th row	[{'name': 'parkingspace'}, {'name': 'view'}, {'name': 'dishwasher'}]
5th row	[{'name': 'tumbler'}, {'name': 'parquetflooring'}, {'name': 'washingmachine'}, {'name': 'broadbandinternet'}, {'name': 'cable'}, {'name': 'dishwasher'}, {'name': 'lift'}, {'name': 'balconygarden'}]

Value	Count	Frequency (%)
name	79570	47.8%
balconygarden	11621	7.0%
lift	9063	5.4%
parkingspace	8847	5.3%
	7194	4.3%
garage	7068	4.2%
view	6062	3.6%
cable	5524	3.3%
petsallowed	5357	3.2%
dishwasher	4633	2.8%
Other values (13)	21395	12.9%

Most occurring characters

Value	Count	Frequency (%)
'	318280	16.6%
a	175292	9.1%
e	169416	8.8%
	138677	7.2%
n	134132	7.0%
m	88555	4.6%
{	79570	4.2%
:	79570	4.2%
}	79570	4.2%
,	59107	3.1%
Other values (21)	593665	31.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1915834	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
'	318280	16.6%
a	175292	9.1%
e	169416	8.8%
	138677	7.2%
n	134132	7.0%
m	88555	4.6%
{	79570	4.2%
:	79570	4.2%
}	79570	4.2%
,	59107	3.1%
Other values (21)	593665	31.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1915834	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
'	318280	16.6%
a	175292	9.1%
e	169416	8.8%
	138677	7.2%
n	134132	7.0%
m	88555	4.6%
{	79570	4.2%
:	79570	4.2%
}	79570	4.2%
,	59107	3.1%
Other values (21)	593665	31.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1915834	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
'	318280	16.6%
a	175292	9.1%
e	169416	8.8%
	138677	7.2%
n	134132	7.0%
m	88555	4.6%
{	79570	4.2%
:	79570	4.2%
}	79570	4.2%
,	59107	3.1%
Other values (21)	593665	31.0%

is_furnished
Boolean

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	27.1 KiB

False	24631
True	3026

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	24631	89.1%
True	3026	10.9%

is_temporary
Boolean

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	27.1 KiB

False	26293
True	1364

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	26293	95.1%
True	1364	4.9%

is_selling_furniture
Boolean

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	27.1 KiB

False	27140
True	517

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	27140	98.1%
True	517	1.9%

street
Text

MISSING

Distinct	15658
Distinct (%)	68.0%
Missing	4637
Missing (%)	16.8%
Memory size	216.2 KiB

Length

Max length	71
Median length	50
Mean length	16.694136
Min length	1

Characters and Unicode

Total characters	384299
Distinct characters	103
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12673 ?
Unique (%)	55.1%

Sample

1st row	Parkstr. 12
2nd row	Martha Ringier-Strasse
3rd row	Sonnentalstrasse 10
4th row	Waldstrasse 5
5th row	Loft, Valangines

Value	Count	Frequency (%)
de	1474	2.6%
auf	1292	2.3%
anfrage	1287	2.3%
rue	1254	2.2%
1	870	1.6%
2	768	1.4%
du	706	1.3%
4	641	1.1%
5	613	1.1%
des	602	1.1%
Other values (9858)	46372	83.0%

Most occurring characters

Value	Count	Frequency (%)
e	43160	11.2%
s	40414	10.5%
	32910	8.6%
r	28360	7.4%
a	27777	7.2%
t	21645	5.6%
n	16075	4.2%
l	11121	2.9%
i	11038	2.9%
u	10622	2.8%
Other values (93)	141177	36.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	384299	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	43160	11.2%
s	40414	10.5%
	32910	8.6%
r	28360	7.4%
a	27777	7.2%
t	21645	5.6%
n	16075	4.2%
l	11121	2.9%
i	11038	2.9%
u	10622	2.8%
Other values (93)	141177	36.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	384299	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	43160	11.2%
s	40414	10.5%
	32910	8.6%
r	28360	7.4%
a	27777	7.2%
t	21645	5.6%
n	16075	4.2%
l	11121	2.9%
i	11038	2.9%
u	10622	2.8%
Other values (93)	141177	36.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	384299	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	43160	11.2%
s	40414	10.5%
	32910	8.6%
r	28360	7.4%
a	27777	7.2%
t	21645	5.6%
n	16075	4.2%
l	11121	2.9%
i	11038	2.9%
u	10622	2.8%
Other values (93)	141177	36.7%

zipcode
Real number (ℝ)

Distinct	2281
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5351.5373

Minimum	1000
Maximum	88100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	1000
5-th percentile	1196
Q1	3011
median	5012
Q3	8107
95-th percentile	9050
Maximum	88100
Range	87100
Interquartile range (IQR)	5096

Descriptive statistics

Standard deviation	2807.9152
Coefficient of variation (CV)	0.52469319
Kurtosis	25.746764
Mean	5351.5373
Median Absolute Deviation (MAD)	2996
Skewness	0.88098909
Sum	1.4800747 × 10⁸
Variance	7884387.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9000	460	1.7%
1700	383	1.4%
8050	286	1.0%
2300	276	1.0%
8004	248	0.9%
8400	199	0.7%
4052	193	0.7%
8048	186	0.7%
4123	169	0.6%
8008	164	0.6%
Other values (2271)	25093	90.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1000	9	< 0.1%
1001	1	< 0.1%
1002	2	< 0.1%
1003	100	0.4%
1004	93	0.3%
1005	45	0.2%
1006	47	0.2%
1007	71	0.3%
1008	69	0.2%
1009	51	0.2%

Value	Count	Frequency (%)
88100	1	< 0.1%
9658	1	< 0.1%
9657	3	< 0.1%
9656	5	< 0.1%
9650	5	< 0.1%
9643	4	< 0.1%
9642	2	< 0.1%
9630	23	0.1%
9621	1	< 0.1%
9620	14	0.1%

city
Text

Distinct	2928
Distinct (%)	10.6%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	58
Median length	30
Mean length	8.295079
Min length	2

Characters and Unicode

Total characters	229417
Distinct characters	97
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1090 ?
Unique (%)	3.9%

Sample

1st row	St. Margrethen SG
2nd row	Lenzburg
3rd row	Dübendorf
4th row	St. Gallen
5th row	Zürich

Value	Count	Frequency (%)
zürich	2138	6.7%
basel	1058	3.3%
st	751	2.4%
gallen	697	2.2%
bern	661	2.1%
lausanne	522	1.6%
zurich	488	1.5%
winterthur	412	1.3%
fribourg	384	1.2%
la	353	1.1%
Other values (2611)	24444	76.6%

Most occurring characters

Value	Count	Frequency (%)
e	25043	10.9%
n	21053	9.2%
r	16082	7.0%
i	14856	6.5%
a	13608	5.9%
l	13275	5.8%
s	9799	4.3%
h	9360	4.1%
t	9200	4.0%
o	8218	3.6%
Other values (87)	88923	38.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	229417	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	25043	10.9%
n	21053	9.2%
r	16082	7.0%
i	14856	6.5%
a	13608	5.9%
l	13275	5.8%
s	9799	4.3%
h	9360	4.1%
t	9200	4.0%
o	8218	3.6%
Other values (87)	88923	38.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	229417	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	25043	10.9%
n	21053	9.2%
r	16082	7.0%
i	14856	6.5%
a	13608	5.9%
l	13275	5.8%
s	9799	4.3%
h	9360	4.1%
t	9200	4.0%
o	8218	3.6%
Other values (87)	88923	38.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	229417	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	25043	10.9%
n	21053	9.2%
r	16082	7.0%
i	14856	6.5%
a	13608	5.9%
l	13275	5.8%
s	9799	4.3%
h	9360	4.1%
t	9200	4.0%
o	8218	3.6%
Other values (87)	88923	38.8%

public_address
Text

Distinct	18900
Distinct (%)	68.3%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	82
Median length	60
Mean length	28.854973
Min length	7

Characters and Unicode

Total characters	798042
Distinct characters	118
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14963 ?
Unique (%)	54.1%

Sample

1st row	Parkstr. 12, 9430 St. Margrethen SG
2nd row	Martha Ringier-Strasse, 5600 Lenzburg
3rd row	Sonnentalstrasse 10, 8600 Dübendorf
4th row	Waldstrasse 5, 9008 St. Gallen
5th row	8005 Zürich

Value	Count	Frequency (%)
zürich	2145	1.9%
de	1478	1.3%
auf	1292	1.1%
anfrage	1287	1.1%
rue	1255	1.1%
basel	1068	0.9%
la	938	0.8%
st	885	0.8%
1	871	0.8%
2	770	0.7%
Other values (14018)	103455	89.6%

Most occurring characters

Value	Count	Frequency (%)
	87840	11.0%
e	68203	8.5%
s	50213	6.3%
r	44442	5.6%
a	41385	5.2%
n	37128	4.7%
t	30845	3.9%
0	28138	3.5%
i	25894	3.2%
l	24396	3.1%
Other values (108)	359558	45.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	798042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	87840	11.0%
e	68203	8.5%
s	50213	6.3%
r	44442	5.6%
a	41385	5.2%
n	37128	4.7%
t	30845	3.9%
0	28138	3.5%
i	25894	3.2%
l	24396	3.1%
Other values (108)	359558	45.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	798042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	87840	11.0%
e	68203	8.5%
s	50213	6.3%
r	44442	5.6%
a	41385	5.2%
n	37128	4.7%
t	30845	3.9%
0	28138	3.5%
i	25894	3.2%
l	24396	3.1%
Other values (108)	359558	45.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	798042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	87840	11.0%
e	68203	8.5%
s	50213	6.3%
r	44442	5.6%
a	41385	5.2%
n	37128	4.7%
t	30845	3.9%
0	28138	3.5%
i	25894	3.2%
l	24396	3.1%
Other values (108)	359558	45.1%

latitude
Real number (ℝ)

Distinct	20905
Distinct (%)	75.6%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	47.092183

Minimum	45.826182
Maximum	47.793652
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	45.826182
5-th percentile	46.193779
Q1	46.835732
median	47.271607
Q3	47.423097
95-th percentile	47.559132
Maximum	47.793652
Range	1.96747
Interquartile range (IQR)	0.587365

Descriptive statistics

Standard deviation	0.44948791
Coefficient of variation (CV)	0.0095448518
Kurtosis	-0.25956045
Mean	47.092183
Median Absolute Deviation (MAD)	0.21971
Skewness	-0.95573521
Sum	1302381.4
Variance	0.20203938
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
46.77822161	28	0.1%
47.11767161	26	0.1%
47.36689161	24	0.1%
46.0127616	23	0.1%
46.20913161	23	0.1%
47.43064161	22	0.1%
46.78719161	22	0.1%
46.2916616	21	0.1%
47.4241816	21	0.1%
47.1131916	20	0.1%
Other values (20895)	27426	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
45.8261816	1	< 0.1%
45.82732161	1	< 0.1%
45.8310216	1	< 0.1%
45.8322416	4	< 0.1%
45.8329516	2	< 0.1%
45.8332216	1	< 0.1%
45.83389161	2	< 0.1%
45.8353816	1	< 0.1%
45.8357516	3	< 0.1%
45.83580161	1	< 0.1%

Value	Count	Frequency (%)
47.79365161	1	< 0.1%
47.7680716	1	< 0.1%
47.7680316	1	< 0.1%
47.75681161	1	< 0.1%
47.7566216	1	< 0.1%
47.7564616	7	< 0.1%
47.7534916	1	< 0.1%
47.75052161	1	< 0.1%
47.75009161	3	< 0.1%
47.75003161	1	< 0.1%

longitude
Real number (ℝ)

Distinct	21403
Distinct (%)	77.4%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	7.9857019

Minimum	5.9796912
Maximum	10.403751
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	5.9796912
5-th percentile	6.5662112
Q1	7.4049287
median	8.0184862
Q3	8.5922062
95-th percentile	9.3832712
Maximum	10.403751
Range	4.42406
Interquartile range (IQR)	1.1872775

Descriptive statistics

Standard deviation	0.86136894
Coefficient of variation (CV)	0.1078639
Kurtosis	-0.75224161
Mean	7.9857019
Median Absolute Deviation (MAD)	0.589425
Skewness	-0.16865379
Sum	220852.57
Variance	0.74195645
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.840561235	40	0.1%
7.156761234	28	0.1%
7.332471234	24	0.1%
7.316841238	23	0.1%
8.96301124	23	0.1%
6.807401235	22	0.1%
9.383271235	22	0.1%
7.542931234	22	0.1%
8.558061235	21	0.1%
7.301061235	20	0.1%
Other values (21393)	27411	99.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5.979691235	1	< 0.1%
5.991881235	1	< 0.1%
5.993681235	1	< 0.1%
6.002451235	2	< 0.1%
6.007011236	1	< 0.1%
6.019591235	1	< 0.1%
6.019631235	1	< 0.1%
6.036691235	1	< 0.1%
6.037741235	1	< 0.1%
6.037791236	2	< 0.1%

Value	Count	Frequency (%)
10.40375123	1	< 0.1%
10.36431123	1	< 0.1%
10.35798123	1	< 0.1%
10.30210124	2	< 0.1%
10.29604123	1	< 0.1%
10.14259123	1	< 0.1%
10.09659123	1	< 0.1%
9.958821237	1	< 0.1%
9.902851236	1	< 0.1%
9.899801236	1	< 0.1%

year_built
Real number (ℝ)

MISSING SKEWED

Distinct	281
Distinct (%)	2.2%
Missing	14588
Missing (%)	52.7%
Infinite	0
Infinite (%)	0.0%
Mean	3480.6475

Minimum	0
Maximum	19702024
Zeros	276
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1889.4
Q1	1968
median	1991
Q3	2017
95-th percentile	2024
Maximum	19702024
Range	19702024
Interquartile range (IQR)	49

Descriptive statistics

Standard deviation	172342.3
Coefficient of variation (CV)	49.514437
Kurtosis	13063.497
Mean	3480.6475
Median Absolute Deviation (MAD)	25
Skewness	114.28386
Sum	45488582
Variance	2.9701869 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2024	994	3.6%
2023	586	2.1%
2022	315	1.1%
0	276	1.0%
2018	243	0.9%
1970	234	0.8%
2017	226	0.8%
2019	220	0.8%
2015	214	0.8%
2021	204	0.7%
Other values (271)	9557	34.6%
(Missing)	14588	52.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	276	1.0%
6	2	< 0.1%
177	1	< 0.1%
199	1	< 0.1%
1250	1	< 0.1%
1255	1	< 0.1%
1300	1	< 0.1%
1350	1	< 0.1%
1369	1	< 0.1%
1400	5	< 0.1%

Value	Count	Frequency (%)
19702024	1	< 0.1%
202300	2	< 0.1%
20220	1	< 0.1%
2997	1	< 0.1%
2027	7	< 0.1%
2026	105	0.4%
2025	187	0.7%
2024	994	3.6%
2023	586	2.1%
2022	315	1.1%

year_renovated
Real number (ℝ)

MISSING ZEROS

Distinct	69
Distinct (%)	1.3%
Missing	22187
Missing (%)	80.2%
Infinite	0
Infinite (%)	0.0%
Mean	1909.9135

Minimum	0
Maximum	2027
Zeros	285
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2009.25
median	2018
Q3	2022
95-th percentile	2024
Maximum	2027
Range	2027
Interquartile range (IQR)	12.75

Descriptive statistics

Standard deviation	448.73443
Coefficient of variation (CV)	0.23495013
Kurtosis	14.178758
Mean	1909.9135
Median Absolute Deviation (MAD)	5
Skewness	-4.0204573
Sum	10447227
Variance	201362.58
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2024	721	2.6%
2023	592	2.1%
2022	450	1.6%
2020	308	1.1%
2021	294	1.1%
0	285	1.0%
2019	263	1.0%
2018	249	0.9%
2017	225	0.8%
2015	179	0.6%
Other values (59)	1904	6.9%
(Missing)	22187	80.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	285	1.0%
24	1	< 0.1%
1907	1	< 0.1%
1916	1	< 0.1%
1930	1	< 0.1%
1942	1	< 0.1%
1950	1	< 0.1%
1958	4	< 0.1%
1959	1	< 0.1%
1960	1	< 0.1%

Value	Count	Frequency (%)
2027	1	< 0.1%
2025	25	0.1%
2024	721	2.6%
2023	592	2.1%
2022	450	1.6%
2021	294	1.1%
2020	308	1.1%
2019	263	1.0%
2018	249	0.9%
2017	225	0.8%

moving_date_type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

agr	10928
imm	8607
dat	8122

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	82971
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	agr
2nd row	agr
3rd row	imm
4th row	dat
5th row	dat

Common Values

Value	Count	Frequency (%)
agr	10928	39.5%
imm	8607	31.1%
dat	8122	29.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
agr	10928	39.5%
imm	8607	31.1%
dat	8122	29.4%

Most occurring characters

Value	Count	Frequency (%)
a	19050	23.0%
m	17214	20.7%
g	10928	13.2%
r	10928	13.2%
i	8607	10.4%
d	8122	9.8%
t	8122	9.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	82971	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	19050	23.0%
m	17214	20.7%
g	10928	13.2%
r	10928	13.2%
i	8607	10.4%
d	8122	9.8%
t	8122	9.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	82971	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	19050	23.0%
m	17214	20.7%
g	10928	13.2%
r	10928	13.2%
i	8607	10.4%
d	8122	9.8%
t	8122	9.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	82971	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	19050	23.0%
m	17214	20.7%
g	10928	13.2%
r	10928	13.2%
i	8607	10.4%
d	8122	9.8%
t	8122	9.8%

moving_date
Text

MISSING

Distinct	289
Distinct (%)	3.6%
Missing	19535
Missing (%)	70.6%
Memory size	216.2 KiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	81220
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	100 ?
Unique (%)	1.2%

Sample

1st row	2018-09-01
2nd row	2023-04-01
3rd row	2019-07-01
4th row	2020-03-01
5th row	2021-04-01

Value	Count	Frequency (%)
2024-08-01	1633	20.1%
2024-09-01	1396	17.2%
2024-07-01	1129	13.9%
2024-10-01	1008	12.4%
2024-11-01	197	2.4%
2024-07-16	162	2.0%
2024-06-01	151	1.9%
2024-08-16	112	1.4%
2024-07-15	108	1.3%
2024-09-16	97	1.2%
Other values (279)	2129	26.2%

Most occurring characters

Value	Count	Frequency (%)
0	22629	27.9%
2	16918	20.8%
-	16244	20.0%
1	9342	11.5%
4	7655	9.4%
8	2259	2.8%
7	1959	2.4%
9	1778	2.2%
6	1005	1.2%
5	865	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	81220	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	22629	27.9%
2	16918	20.8%
-	16244	20.0%
1	9342	11.5%
4	7655	9.4%
8	2259	2.8%
7	1959	2.4%
9	1778	2.2%
6	1005	1.2%
5	865	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	81220	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	22629	27.9%
2	16918	20.8%
-	16244	20.0%
1	9342	11.5%
4	7655	9.4%
8	2259	2.8%
7	1959	2.4%
9	1778	2.2%
6	1005	1.2%
5	865	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	81220	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	22629	27.9%
2	16918	20.8%
-	16244	20.0%
1	9342	11.5%
4	7655	9.4%
8	2259	2.8%
7	1959	2.4%
9	1778	2.2%
6	1005	1.2%
5	865	1.1%

video_url
Text

MISSING

Distinct	156
Distinct (%)	35.6%
Missing	27219
Missing (%)	98.4%
Memory size	216.2 KiB

Length

Max length	61
Median length	28
Mean length	35.098174
Min length	27

Characters and Unicode

Total characters	15373
Distinct characters	70
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	126 ?
Unique (%)	28.8%

Sample

1st row	https://www.youtube.com/watch?v=sQN66oOVbgQ
2nd row	https://youtu.be/-ueYl9wNN-E
3rd row	https://www.youtube.com/watch?v=VYK-6YsqVqE&feature=emb_logo
4th row	https://www.youtube.com/watch?v=h0zyts9KJs0&t=1s
5th row	https://my.matterport.com/show/?m=G5JvFJaqqoY

Value	Count	Frequency (%)
https://youtu.be/6qgcqbkx_u0	95	21.7%
https://www.youtube.com/watch?v=6qgcqbkx_u0	59	13.5%
https://youtu.be/7nm1nqgtdu4	40	9.1%
https://www.youtube.com/watch?v=pesusc6oxc8	28	6.4%
https://www.youtube.com/watch?v=4xhpj8olg4s	15	3.4%
https://youtu.be/t5lznqwkkgu	14	3.2%
https://youtu.be/nxrivvdqj1k	4	0.9%
https://youtu.be/vjtlsztko14	4	0.9%
https://www.youtube.com/watch?v=hfr6vsfobe4	4	0.9%
https://youtu.be/iujrkz7euaq	3	0.7%
Other values (146)	172	39.3%

Most occurring characters

Value	Count	Frequency (%)
t	1612	10.5%
/	1318	8.6%
u	937	6.1%
w	837	5.4%
o	713	4.6%
h	672	4.4%
.	637	4.1%
b	620	4.0%
s	518	3.4%
e	517	3.4%
Other values (60)	6992	45.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15373	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	1612	10.5%
/	1318	8.6%
u	937	6.1%
w	837	5.4%
o	713	4.6%
h	672	4.4%
.	637	4.1%
b	620	4.0%
s	518	3.4%
e	517	3.4%
Other values (60)	6992	45.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15373	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	1612	10.5%
/	1318	8.6%
u	937	6.1%
w	837	5.4%
o	713	4.6%
h	672	4.4%
.	637	4.1%
b	620	4.0%
s	518	3.4%
e	517	3.4%
Other values (60)	6992	45.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15373	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	1612	10.5%
/	1318	8.6%
u	937	6.1%
w	837	5.4%
o	713	4.6%
h	672	4.4%
.	637	4.1%
b	620	4.0%
s	518	3.4%
e	517	3.4%
Other values (60)	6992	45.5%

tour_url
Text

MISSING

Distinct	1363
Distinct (%)	85.9%
Missing	26071
Missing (%)	94.3%
Memory size	216.2 KiB

Length

Max length	164
Median length	145
Mean length	50.459647
Min length	22

Characters and Unicode

Total characters	80029
Distinct characters	79
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1233 ?
Unique (%)	77.7%

Sample

1st row	https://my.matterport.com/show/?m=fiUSPMkMUTc
2nd row	https://my.matterport.com/show/?m=h3Zmzk95A2s
3rd row	https://my.matterport.com/show/?m=2h7iEUpcHyL
4th row	https://my.matterport.com/show/?m=Srmo9JURw4C
5th row	https://my.matterport.com/show/?m=AsRXBrsZJxo

Value	Count	Frequency (%)
https://360.casatour.ch/view/fullscreen/id/vvg80	9	0.6%
https://tour.beyonity.ch/?id=l_oree_aussenansicht_1/player	8	0.5%
https://navigator.beyonity.ch/?id=8ecc4456	7	0.4%
https://360.feelestate.ch/view/fullscreen/id/vvw5s	7	0.4%
https://projekt-interim.ch/fr/espaces-libres	6	0.4%
https://vtour.businessimages.ch/vtour_kirchgasse_lotzwil/tour.html	6	0.4%
https://my.matterport.com/show/?m=giyy2ggdt5c&ts=1	5	0.3%
https://360.feelestate.ch/view/fullscreen/id/vzvzm	5	0.3%
https://bluemenau.designraum.ch	4	0.3%
https://my.matterport.com/show/?m=m3bscbd2dsb	4	0.3%
Other values (1353)	1525	96.2%

Most occurring characters

Value	Count	Frequency (%)
t	7623	9.5%
/	6945	8.7%
m	4685	5.9%
o	4323	5.4%
s	3883	4.9%
e	3798	4.7%
h	3587	4.5%
r	3300	4.1%
.	2966	3.7%
p	2889	3.6%
Other values (69)	36030	45.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80029	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	7623	9.5%
/	6945	8.7%
m	4685	5.9%
o	4323	5.4%
s	3883	4.9%
e	3798	4.7%
h	3587	4.5%
r	3300	4.1%
.	2966	3.7%
p	2889	3.6%
Other values (69)	36030	45.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80029	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	7623	9.5%
/	6945	8.7%
m	4685	5.9%
o	4323	5.4%
s	3883	4.9%
e	3798	4.7%
h	3587	4.5%
r	3300	4.1%
.	2966	3.7%
p	2889	3.6%
Other values (69)	36030	45.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80029	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	7623	9.5%
/	6945	8.7%
m	4685	5.9%
o	4323	5.4%
s	3883	4.9%
e	3798	4.7%
h	3587	4.5%
r	3300	4.1%
.	2966	3.7%
p	2889	3.6%
Other values (69)	36030	45.0%

website_url
Text

MISSING

Distinct	5458
Distinct (%)	71.7%
Missing	20044
Missing (%)	72.5%
Memory size	216.2 KiB

Length

Max length	184
Median length	142
Mean length	65.79246
Min length	15

Characters and Unicode

Total characters	500878
Distinct characters	82
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4983 ?
Unique (%)	65.5%

Sample

1st row	http://ceres-tower.ch/
2nd row	https://visionapartments.com/en-gb/
3rd row	https://visionapartments.com/en-gb/
4th row	https://visionapartments.com/en-gb/
5th row	https://visionapartments.com/en-gb/

Value	Count	Frequency (%)
http://www.spaces.ch	109	1.4%
https://visionapartments.com/en-gb	108	1.4%
https://www.homestay-ag.ch/start.htm	95	1.2%
http://www.swiss-star.com	90	1.2%
https://www.visionapartments.com	82	1.1%
http://www.hevsg.ch/immobilienangebote	69	0.9%
https://projekt-interim.ch/de	57	0.7%
https://rtag.ch	51	0.7%
https://www.apartment24.ch	35	0.5%
https://immoseeker.ch	31	0.4%
Other values (5430)	6886	90.5%

Most occurring characters

Value	Count	Frequency (%)
e	39565	7.9%
t	35177	7.0%
/	34578	6.9%
c	23259	4.6%
a	22988	4.6%
h	22181	4.4%
i	20268	4.0%
w	19884	4.0%
m	19826	4.0%
s	18197	3.6%
Other values (72)	244955	48.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500878	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	39565	7.9%
t	35177	7.0%
/	34578	6.9%
c	23259	4.6%
a	22988	4.6%
h	22181	4.4%
i	20268	4.0%
w	19884	4.0%
m	19826	4.0%
s	18197	3.6%
Other values (72)	244955	48.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500878	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	39565	7.9%
t	35177	7.0%
/	34578	6.9%
c	23259	4.6%
a	22988	4.6%
h	22181	4.4%
i	20268	4.0%
w	19884	4.0%
m	19826	4.0%
s	18197	3.6%
Other values (72)	244955	48.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500878	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	39565	7.9%
t	35177	7.0%
/	34578	6.9%
c	23259	4.6%
a	22988	4.6%
h	22181	4.4%
i	20268	4.0%
w	19884	4.0%
m	19826	4.0%
s	18197	3.6%
Other values (72)	244955	48.9%

live_viewing_url
Categorical

CONSTANT MISSING

Distinct	1
Distinct (%)	33.3%
Missing	27654
Missing (%)	> 99.9%
Memory size	216.2 KiB

https://my.matterport.com/show/?m=YRVdfY6Bvqa&ts=1	3

Length

Max length	50
Median length	50
Mean length	50
Min length	50

Characters and Unicode

Total characters	150
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	https://my.matterport.com/show/?m=YRVdfY6Bvqa&ts=1
2nd row	https://my.matterport.com/show/?m=YRVdfY6Bvqa&ts=1
3rd row	https://my.matterport.com/show/?m=YRVdfY6Bvqa&ts=1

Common Values

Value	Count	Frequency (%)
https://my.matterport.com/show/?m=YRVdfY6Bvqa&ts=1	3	< 0.1%
(Missing)	27654	> 99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
https://my.matterport.com/show/?m=yrvdfy6bvqa&ts=1	3	100.0%

Most occurring characters

Value	Count	Frequency (%)
t	18	12.0%
/	12	8.0%
m	12	8.0%
s	9	6.0%
o	9	6.0%
p	6	4.0%
a	6	4.0%
h	6	4.0%
r	6	4.0%
Y	6	4.0%
Other values (18)	60	40.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	150	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	18	12.0%
/	12	8.0%
m	12	8.0%
s	9	6.0%
o	9	6.0%
p	6	4.0%
a	6	4.0%
h	6	4.0%
r	6	4.0%
Y	6	4.0%
Other values (18)	60	40.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	150	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	18	12.0%
/	12	8.0%
m	12	8.0%
s	9	6.0%
o	9	6.0%
p	6	4.0%
a	6	4.0%
h	6	4.0%
r	6	4.0%
Y	6	4.0%
Other values (18)	60	40.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	150	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	18	12.0%
/	12	8.0%
m	12	8.0%
s	9	6.0%
o	9	6.0%
p	6	4.0%
a	6	4.0%
h	6	4.0%
r	6	4.0%
Y	6	4.0%
Other values (18)	60	40.0%

cover_image
Real number (ℝ)

MISSING

Distinct	27095
Distinct (%)	100.0%
Missing	562
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	8766460.8

Minimum	483988
Maximum	9412451
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	483988
5-th percentile	6729723.1
Q1	8716366.5
median	9113883
Q3	9307128
95-th percentile	9389692.4
Maximum	9412451
Range	8928463
Interquartile range (IQR)	590761.5

Descriptive statistics

Standard deviation	1011598.2
Coefficient of variation (CV)	0.11539414
Kurtosis	16.984857
Mean	8766460.8
Median Absolute Deviation (MAD)	227426
Skewness	-3.5797052
Sum	2.3752725 × 10¹¹
Variance	1.0233308 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9277520	1	< 0.1%
9229736	1	< 0.1%
9229711	1	< 0.1%
9368608	1	< 0.1%
9229656	1	< 0.1%
9229627	1	< 0.1%
9229226	1	< 0.1%
9229577	1	< 0.1%
9229557	1	< 0.1%
9229539	1	< 0.1%
Other values (27085)	27085	97.9%
(Missing)	562	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
483988	1	< 0.1%
557032	1	< 0.1%
622263	1	< 0.1%
644681	1	< 0.1%
645940	1	< 0.1%
645943	1	< 0.1%
948311	1	< 0.1%
1008303	1	< 0.1%
1340576	1	< 0.1%
1340584	1	< 0.1%

Value	Count	Frequency (%)
9412451	1	< 0.1%
9412442	1	< 0.1%
9412435	1	< 0.1%
9412421	1	< 0.1%
9412419	1	< 0.1%
9412389	1	< 0.1%
9412379	1	< 0.1%
9412362	1	< 0.1%
9412349	1	< 0.1%
9412331	1	< 0.1%

images
Text

Distinct	27096
Distinct (%)	98.0%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	459
Median length	324
Mean length	60.569187
Min length	2

Characters and Unicode

Total characters	1675162
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27095 ?
Unique (%)	98.0%

Sample

1st row	[6168251, 6168252, 6168253, 6168254, 6168255, 6168256, 6168257, 6168258, 6168259, 6168260]
2nd row	[8716673]
3rd row	[8656980, 8656981, 6880004]
4th row	[483988, 483989, 483990, 483991, 483992, 483993]
5th row	[557032, 557031, 557033, 557035, 557036]

Value	Count	Frequency (%)
	562	0.3%
6729627	1	< 0.1%
6729628	1	< 0.1%
6716844	1	< 0.1%
6863470	1	< 0.1%
6863471	1	< 0.1%
6863472	1	< 0.1%
6863473	1	< 0.1%
6863474	1	< 0.1%
6863475	1	< 0.1%
Other values (185999)	185999	99.7%

Most occurring characters

Value	Count	Frequency (%)
9	226313	13.5%
,	158913	9.5%
	158913	9.5%
8	157720	9.4%
3	143027	8.5%
2	125436	7.5%
0	117254	7.0%
6	111520	6.7%
1	111457	6.7%
7	109720	6.5%
Other values (4)	254889	15.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1675162	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
9	226313	13.5%
,	158913	9.5%
	158913	9.5%
8	157720	9.4%
3	143027	8.5%
2	125436	7.5%
0	117254	7.0%
6	111520	6.7%
1	111457	6.7%
7	109720	6.5%
Other values (4)	254889	15.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1675162	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
9	226313	13.5%
,	158913	9.5%
	158913	9.5%
8	157720	9.4%
3	143027	8.5%
2	125436	7.5%
0	117254	7.0%
6	111520	6.7%
1	111457	6.7%
7	109720	6.5%
Other values (4)	254889	15.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1675162	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
9	226313	13.5%
,	158913	9.5%
	158913	9.5%
8	157720	9.4%
3	143027	8.5%
2	125436	7.5%
0	117254	7.0%
6	111520	6.7%
1	111457	6.7%
7	109720	6.5%
Other values (4)	254889	15.2%

documents
Text

Distinct	4776
Distinct (%)	17.3%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	64
Median length	2
Mean length	3.10717
Min length	2

Characters and Unicode

Total characters	85935
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4775 ?
Unique (%)	17.3%

Sample

1st row	[188259]
2nd row	[]
3rd row	[5996]
4th row	[]
5th row	[]

Value	Count	Frequency (%)
	22882	82.0%
126021	1	< 0.1%
198672	1	< 0.1%
74089	1	< 0.1%
123817	1	< 0.1%
133960	1	< 0.1%
199147	1	< 0.1%
198443	1	< 0.1%
178281	1	< 0.1%
198786	1	< 0.1%
Other values (5020)	5020	18.0%

Most occurring characters

Value	Count	Frequency (%)
[	27657	32.2%
]	27657	32.2%
1	5943	6.9%
2	5810	6.8%
0	3498	4.1%
9	2932	3.4%
8	2436	2.8%
7	1948	2.3%
5	1925	2.2%
6	1913	2.2%
Other values (4)	4216	4.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	85935	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
[	27657	32.2%
]	27657	32.2%
1	5943	6.9%
2	5810	6.8%
0	3498	4.1%
9	2932	3.4%
8	2436	2.8%
7	1948	2.3%
5	1925	2.2%
6	1913	2.2%
Other values (4)	4216	4.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	85935	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
[	27657	32.2%
]	27657	32.2%
1	5943	6.9%
2	5810	6.8%
0	3498	4.1%
9	2932	3.4%
8	2436	2.8%
7	1948	2.3%
5	1925	2.2%
6	1913	2.2%
Other values (4)	4216	4.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	85935	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
[	27657	32.2%
]	27657	32.2%
1	5943	6.9%
2	5810	6.8%
0	3498	4.1%
9	2932	3.4%
8	2436	2.8%
7	1948	2.3%
5	1925	2.2%
6	1913	2.2%
Other values (4)	4216	4.9%

agency
Text

Distinct	1381
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	524
Median length	495
Mean length	375.10872
Min length	98

Characters and Unicode

Total characters	10374382
Distinct characters	99
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	369 ?
Unique (%)	1.3%

Sample

1st row	{'name': 'Schaeppi Grundstücke AG', 'name_2': None, 'street': 'Oberer Graben 3', 'zipcode': '9000', 'city': 'St. Gallen', 'country': 'CH', 'logo': {'url': '/thumb/org/2017/07/swjclw63c89d8nx0ypf8gt1bnza9y0iadiifrrebderz3narrl.png?signature=uORTnlb200xyG4N3vwHB-bXsIbPMg1_f0SYbRnednMg', 'url_org_logo_m': '/thumb/org/2017/07/swjclw63c89d8nx0ypf8gt1bnza9y0iadiifrrebderz3narrl.png?alias=org_logo_m&signature=6Jt5S-b-bBZsrmhE44UT7rAE1neO5IgenWWQlK6k8oQ'}}
2nd row	{'name': 'Die Immobilien-Treuhänder', 'name_2': 'Straub & Partner AG', 'street': 'Schafisheimerstr. 14 \| Postfach', 'zipcode': '5600', 'city': 'Lenzburg 1', 'country': 'CH', 'logo': {'url': '/thumb/org/2018/01/24pikyo16uxpkmtgmse7uxz3ezo5got52p0ge4dz7hregfbamh.png?signature=PPY0vl5oiFi6NdLN_YhxKxUQrHjOWmL9dfX1IRZWQkU', 'url_org_logo_m': '/thumb/org/2018/01/24pikyo16uxpkmtgmse7uxz3ezo5got52p0ge4dz7hregfbamh.png?alias=org_logo_m&signature=32xQu5HxiT5_eUzWKSUk63g0vM6LwumXa1WBqLsdVyg'}}
3rd row	{'name': '', 'name_2': '', 'street': '', 'zipcode': None, 'city': '', 'country': '', 'logo': {'url': '/thumb/org/2021/09/gd6j7zww4mvw667669s2ei0h40gn6ep4o6mvs01vfu35dfexou.png?signature=TqHGaBfcrsxFik0CiREfTwYEfj4fJeSwcVZcaz7zFJA', 'url_org_logo_m': '/thumb/org/2021/09/gd6j7zww4mvw667669s2ei0h40gn6ep4o6mvs01vfu35dfexou.png?alias=org_logo_m&signature=FvIBhxWWNoadvv9eDMR6ZmoiFyhi6t-NupHXnSS_na0'}}
4th row	{'name': 'Home-Vermittlung Höhener', 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': {'url': '/thumb/org/2018/08/rocjc1px3dn5uq3gxuv1gc2rvt36pn8by6ucdcnjwhqm2bachd.png?signature=GgMsRcwkQ6iY_ilDEkWNROomwZ53FIJTt2yoCOK6mMA', 'url_org_logo_m': '/thumb/org/2018/08/rocjc1px3dn5uq3gxuv1gc2rvt36pn8by6ucdcnjwhqm2bachd.png?alias=org_logo_m&signature=-nxurwrG_2VFqfFatWNOZMjx1m0uUfLf4Xkk5HN3Hec'}}
5th row	{'name': '', 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': None}

Value	Count	Frequency (%)
none	61276	11.5%
name	27657	5.2%
country	27657	5.2%
city	27657	5.2%
zipcode	27657	5.2%
street	27657	5.2%
name_2	27657	5.2%
logo	27657	5.2%
url_org_logo_m	21851	4.1%
url	21851	4.1%
Other values (3785)	232542	43.8%

Most occurring characters

Value	Count	Frequency (%)
'	782462	7.5%
	503481	4.9%
o	469948	4.5%
e	433652	4.2%
r	369488	3.6%
g	352138	3.4%
n	345838	3.3%
t	310040	3.0%
a	299724	2.9%
u	279328	2.7%
Other values (89)	6228283	60.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10374382	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
'	782462	7.5%
	503481	4.9%
o	469948	4.5%
e	433652	4.2%
r	369488	3.6%
g	352138	3.4%
n	345838	3.3%
t	310040	3.0%
a	299724	2.9%
u	279328	2.7%
Other values (89)	6228283	60.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10374382	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
'	782462	7.5%
	503481	4.9%
o	469948	4.5%
e	433652	4.2%
r	369488	3.6%
g	352138	3.4%
n	345838	3.3%
t	310040	3.0%
a	299724	2.9%
u	279328	2.7%
Other values (89)	6228283	60.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10374382	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
'	782462	7.5%
	503481	4.9%
o	469948	4.5%
e	433652	4.2%
r	369488	3.6%
g	352138	3.4%
n	345838	3.3%
t	310040	3.0%
a	299724	2.9%
u	279328	2.7%
Other values (89)	6228283	60.0%

reserved
Boolean

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	27.1 KiB

False	27650
True	7

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	27650	> 99.9%
True	7	< 0.1%

rent_title
Text

Distinct	15298
Distinct (%)	55.3%
Missing	0
Missing (%)	0.0%
Memory size	216.2 KiB

Length

Max length	90
Median length	59
Mean length	36.500597
Min length	17

Characters and Unicode

Total characters	1009497
Distinct characters	102
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12180 ?
Unique (%)	44.0%

Sample

1st row	Rent a 127m² office in St. Margrethen SG
2nd row	Rent a underground slot in Lenzburg
3rd row	Rent a 119m² atelier in Dübendorf
4th row	Rent a 1 room single room in St. Gallen
5th row	Rent a room in a shared flat in Zürich

Value	Count	Frequency (%)
a	29338	14.0%
in	29335	14.0%
rent	22072	10.5%
rooms	15832	7.6%
½	12418	5.9%
apartment	11922	5.7%
buy	5585	2.7%
3	5045	2.4%
4	4041	1.9%
flat	3595	1.7%
Other values (3691)	70353	33.6%

Most occurring characters

Value	Count	Frequency (%)
	181881	18.0%
n	94338	9.3%
a	76341	7.6%
e	75573	7.5%
t	65118	6.5%
o	61269	6.1%
r	58575	5.8%
i	53119	5.3%
m	39627	3.9%
s	37190	3.7%
Other values (92)	266466	26.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1009497	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	181881	18.0%
n	94338	9.3%
a	76341	7.6%
e	75573	7.5%
t	65118	6.5%
o	61269	6.1%
r	58575	5.8%
i	53119	5.3%
m	39627	3.9%
s	37190	3.7%
Other values (92)	266466	26.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1009497	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	181881	18.0%
n	94338	9.3%
a	76341	7.6%
e	75573	7.5%
t	65118	6.5%
o	61269	6.1%
r	58575	5.8%
i	53119	5.3%
m	39627	3.9%
s	37190	3.7%
Other values (92)	266466	26.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1009497	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	181881	18.0%
n	94338	9.3%
a	76341	7.6%
e	75573	7.5%
t	65118	6.5%
o	61269	6.1%
r	58575	5.8%
i	53119	5.3%
m	39627	3.9%
s	37190	3.7%
Other values (92)	266466	26.4%

livingspace
Real number (ℝ)

MISSING SKEWED ZEROS

Distinct	928
Distinct (%)	4.2%
Missing	5616
Missing (%)	20.3%
Infinite	0
Infinite (%)	0.0%
Mean	142.57652

Minimum	0
Maximum	90000
Zeros	1235
Zeros (%)	4.5%
Negative	0
Negative (%)	0.0%
Memory size	216.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	54
median	86
Q3	128
95-th percentile	335
Maximum	90000
Range	90000
Interquartile range (IQR)	74

Descriptive statistics

Standard deviation	724.20738
Coefficient of variation (CV)	5.0794296
Kurtosis	10846.974
Mean	142.57652
Median Absolute Deviation (MAD)	36
Skewness	90.801785
Sum	3142529
Variance	524476.32
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1235	4.5%
100	441	1.6%
70	430	1.6%
80	401	1.4%
90	372	1.3%
120	328	1.2%
75	320	1.2%
60	301	1.1%
85	282	1.0%
65	280	1.0%
Other values (918)	17651	63.8%
(Missing)	5616	20.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1235	4.5%
1	17	0.1%
2	28	0.1%
3	13	< 0.1%
4	10	< 0.1%
5	6	< 0.1%
6	14	0.1%
7	17	0.1%
8	29	0.1%
9	23	0.1%

Value	Count	Frequency (%)
90000	1	< 0.1%
23000	1	< 0.1%
18600	1	< 0.1%
18000	1	< 0.1%
11475	1	< 0.1%
11000	1	< 0.1%
10267	1	< 0.1%
8033	1	< 0.1%
8000	2	< 0.1%
6629	1	< 0.1%

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	pk	slug	url	short_url	submit_url	status	offer_type	object_category	object_type	reference	ref_property	ref_house	ref_object	alternative_reference	price_display	price_display_type	price_unit	rent_net	rent_charges	rent_gross	short_title	public_title	pitch_title	description_title	description	surface_living	surface_property	surface_usable	surface_usable_minimum	volume	space_display	number_of_rooms	floor	attributes	is_furnished	is_temporary	is_selling_furniture	street	zipcode	city	public_address	latitude	longitude	year_built	year_renovated	moving_date_type	moving_date	video_url	tour_url	website_url	live_viewing_url	cover_image	images	documents	agency	reserved	rent_title	livingspace
0	26706	parkstr-12-9430-st-margrethen-sg	/en/flat/parkstr-12-9430-st-margrethen-sg/26706/	/26706/	/en/listing/26706/submit/	act	RENT	INDUSTRY	OFFICE	904250.01.40102	904250	01	40102	NaN	NaN	NaN	monthly	NaN	NaN	NaN	127m² office	Parkstr. 12, 9430 St. Margrethen SG - by request	Rent a 127m² office in St. Margrethen SG	Repräsentativer Büro- oder Praxisraum von ca. 127m2	Grosszügiger und Lichtdurchfluteter Büro-/ Praxisraum in unmittelbarerer Nähe zum Bahnhof St. Margrethen. \n\nAufgrund der idealen Lage, bietet der Standort auch einen zentralen Anschluss an die Autobahn sowie zahlreiche Verpflegungsmöglichkeiten. \n\n * Flexible, nutzerspezifische Raumeinteilung möglich \n * Hochwertiger Ausbaustandard \n * Deckenelemente für Lüftung und Kühlung \n * Eigene Toilette \n * Büroküche \n * Für technische Installationen "doppelter" Boden \n * Lift \n * Tiefe HK-/NK-Kosten (Minergie) \n * Parkplätze können dazu gemietet werden CHF 60.00/Mt. \n * Archivräume (ca. 8qm) können dazu gemietet werden CHF 56.00/Mt. \n * Verfügbar nach Vereinbarung \n * Mietzins auf Anfrage \n\n\n\nHaben wir Ihr Interesse geweckt so zögern Sie nicht uns für einen Besichtigungstermin zu kontaktieren.	NaN	NaN	127.0	NaN	NaN	127.0	NaN	1.0	[{'name': 'petsallowed'}, {'name': 'view'}]	False	False	False	Parkstr. 12	9430	St. Margrethen SG	Parkstr. 12, 9430 St. Margrethen SG	47.452350	9.635814	1977.0	NaN	agr	NaN	NaN	NaN	NaN	NaN	6168251.0	[6168251, 6168252, 6168253, 6168254, 6168255, 6168256, 6168257, 6168258, 6168259, 6168260]	[188259]	{'name': 'Schaeppi Grundstücke AG', 'name_2': None, 'street': 'Oberer Graben 3', 'zipcode': '9000', 'city': 'St. Gallen', 'country': 'CH', 'logo': {'url': '/thumb/org/2017/07/swjclw63c89d8nx0ypf8gt1bnza9y0iadiifrrebderz3narrl.png?signature=uORTnlb200xyG4N3vwHB-bXsIbPMg1_f0SYbRnednMg', 'url_org_logo_m': '/thumb/org/2017/07/swjclw63c89d8nx0ypf8gt1bnza9y0iadiifrrebderz3narrl.png?alias=org_logo_m&signature=6Jt5S-b-bBZsrmhE44UT7rAE1neO5IgenWWQlK6k8oQ'}}	False	Rent a 127m² office in St. Margrethen SG	127.0
1	33819	martha-ringier-strasse-5600-lenzburg	/en/flat/martha-ringier-strasse-5600-lenzburg/33819/	/33819/	/en/listing/33819/submit/	act	RENT	PARK	GARAGE_SLOT	194..0	194	NaN	0	NaN	130.0	TOTAL	monthly	130.0	0.0	NaN	Underground slot	Martha Ringier-Strasse, 5600 Lenzburg - CHF 130 excl. utilities per month	Rent a underground slot in Lenzburg	PARKPLATZKONTINGENT IN LENZBURG	Diverse Einstellhallenparkplätze zentral in Lenzburg zu vermieten! \n \nSie benötigen kurz- oder langfristig Parkplätze? Oder Sie benötigen für ein grösseres Projekt wie einen Umbau ausreichend Parkmöglichkeiten? \n \nWir bieten Ihnen einzelne oder mehrere Parkplätze in der Einstellhalle an. Diese können ab CHF 130.00 pro Monat gemietet werden.	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	[]	False	False	False	Martha Ringier-Strasse	5600	Lenzburg	Martha Ringier-Strasse, 5600 Lenzburg	47.384753	8.182750	NaN	NaN	agr	NaN	NaN	NaN	NaN	NaN	8716673.0	[8716673]	[]	{'name': 'Die Immobilien-Treuhänder', 'name_2': 'Straub & Partner AG', 'street': 'Schafisheimerstr. 14 \| Postfach', 'zipcode': '5600', 'city': 'Lenzburg 1', 'country': 'CH', 'logo': {'url': '/thumb/org/2018/01/24pikyo16uxpkmtgmse7uxz3ezo5got52p0ge4dz7hregfbamh.png?signature=PPY0vl5oiFi6NdLN_YhxKxUQrHjOWmL9dfX1IRZWQkU', 'url_org_logo_m': '/thumb/org/2018/01/24pikyo16uxpkmtgmse7uxz3ezo5got52p0ge4dz7hregfbamh.png?alias=org_logo_m&signature=32xQu5HxiT5_eUzWKSUk63g0vM6LwumXa1WBqLsdVyg'}}	False	Rent a underground slot in Lenzburg	NaN
2	44676	sonnentalstrasse-10-8600-dubendorf	/en/flat/sonnentalstrasse-10-8600-dubendorf/44676/	/44676/	/en/listing/44676/submit/	act	RENT	INDUSTRY	ATELIER	71.10 (L 00 02).9001	71	10 (L 00 02)	9001	NaN	2325.0	TOTAL	monthly	1980.0	345.0	NaN	119m² atelier	Sonnentalstrasse 10, 8600 Dübendorf - CHF 2’325 incl. utilities per month	Rent a 119m² atelier in Dübendorf	Hochwertiges Atelier Hochbord Dübendorf	Nach Vereinbarung vermieten wir im äusserst modernen Gebäudekomplex Hochbord dieses Atelier. \n \nDas Atelier mit insgesamt 119 m2 bietet Ihnen folgende Vorzüge: \n \n\n* Eigene Toilette\n* Bodenheizung in allen Räumen\n* Zwei einzelne Büroräume\n* Glattalbahn/ Ringwiesen in unmittelbarer Nähe\n* Bahnhof Stettbach in Gehdistanz\n* Autobahnanschluss in 3 Fahrminuten\n\n \nDieses Atelier eignet sich ausgezeichnet für verschiedene Nutzungen, als Büro, Verkaufsraum u.v.a.m. Prägen Sie das Hochbord mit Ihrem Businesskonzept - wir sind gespannt darauf. \n \nHaben wir Interesse geweckt? Dann freuen wir uns schon auf Ihre Kontaktanfrage über das Kontaktformular!	NaN	NaN	119.0	NaN	NaN	119.0	NaN	NaN	[{'name': 'lift'}, {'name': 'garage'}]	False	False	False	Sonnentalstrasse 10	8600	Dübendorf	Sonnentalstrasse 10, 8600 Dübendorf	47.397886	8.600850	2018.0	NaN	imm	NaN	NaN	NaN	NaN	NaN	8656980.0	[8656980, 8656981, 6880004]	[5996]	{'name': '', 'name_2': '', 'street': '', 'zipcode': None, 'city': '', 'country': '', 'logo': {'url': '/thumb/org/2021/09/gd6j7zww4mvw667669s2ei0h40gn6ep4o6mvs01vfu35dfexou.png?signature=TqHGaBfcrsxFik0CiREfTwYEfj4fJeSwcVZcaz7zFJA', 'url_org_logo_m': '/thumb/org/2021/09/gd6j7zww4mvw667669s2ei0h40gn6ep4o6mvs01vfu35dfexou.png?alias=org_logo_m&signature=FvIBhxWWNoadvv9eDMR6ZmoiFyhi6t-NupHXnSS_na0'}}	False	Rent a 119m² atelier in Dübendorf	119.0
3	46167	waldstrasse-5-9008-st-gallen	/en/flat/waldstrasse-5-9008-st-gallen/46167/	/46167/	/en/listing/46167/submit/	act	RENT	APARTMENT	SINGLE_ROOM	NaN	NaN	NaN	NaN	NaN	610.0	TOTAL	monthly	NaN	NaN	610.0	1 room single room	Waldstrasse 5, 9008 St. Gallen - CHF 610 incl. utilities per month	Rent a 1 room single room in St. Gallen	Möbiliertes WG Zimmer zum fairen Preis	In dieser sehr schönen Wohnung vermieten wir drei möbilierte WG- Zimmer.\nDas Haus liegt im grünen aber trotzdem nur 2min von der Bushaltestelle entfernt, der direkt zur Uni und ins Zentrum fährt.	17.0	NaN	NaN	NaN	NaN	17.0	1.0	0.0	[{'name': 'parkingspace'}, {'name': 'view'}, {'name': 'dishwasher'}]	True	False	False	Waldstrasse 5	9008	St. Gallen	Waldstrasse 5, 9008 St. Gallen	47.442430	9.392510	NaN	NaN	dat	2018-09-01	NaN	NaN	NaN	NaN	483988.0	[483988, 483989, 483990, 483991, 483992, 483993]	[]	{'name': 'Home-Vermittlung Höhener', 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': {'url': '/thumb/org/2018/08/rocjc1px3dn5uq3gxuv1gc2rvt36pn8by6ucdcnjwhqm2bachd.png?signature=GgMsRcwkQ6iY_ilDEkWNROomwZ53FIJTt2yoCOK6mMA', 'url_org_logo_m': '/thumb/org/2018/08/rocjc1px3dn5uq3gxuv1gc2rvt36pn8by6ucdcnjwhqm2bachd.png?alias=org_logo_m&signature=-nxurwrG_2VFqfFatWNOZMjx1m0uUfLf4Xkk5HN3Hec'}}	False	Rent a 1 room single room in St. Gallen	17.0
4	51159	8005-zurich	/en/flat/8005-zurich/51159/	/51159/	/en/listing/51159/submit/	act	RENT	SHARED	SHARED_FLAT	NaN	NaN	NaN	NaN	NaN	1350.0	TOTAL	monthly	NaN	NaN	1350.0	Room in a shared flat	8005 Zürich - CHF 1’350 incl. utilities per month	Rent a room in a shared flat in Zürich	Furnished room with morning sun	I am looking for a buoyant, easygoing person, who is looking for such a one co-habit with me (f, 50, author and therapist),my daughter (16) and our very cuddly cat. Our beautiful and very spacious 5,5 Duplex-Apartment (177m2, parquet flooring, own washing machine and dryer, 3 bathrooms, balcony and a huge roof-terrace) is situated in the new trend quarter Westside at Escherwyssplatz – very centric and still surprisingly quite. Your room: Furnished, around 18m2 and very bright (huge window, entering morning sun.	18.0	NaN	NaN	NaN	NaN	18.0	1.0	5.0	[{'name': 'tumbler'}, {'name': 'parquetflooring'}, {'name': 'washingmachine'}, {'name': 'broadbandinternet'}, {'name': 'cable'}, {'name': 'dishwasher'}, {'name': 'lift'}, {'name': 'balconygarden'}]	True	True	False	NaN	8005	Zürich	8005 Zürich	47.389303	8.513200	2004.0	NaN	dat	2023-04-01	NaN	NaN	NaN	NaN	557032.0	[557032, 557031, 557033, 557035, 557036]	[]	{'name': '', 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': None}	False	Rent a room in a shared flat in Zürich	18.0
5	56960	loft-valangines-2000-neuchatel	/en/flat/loft-valangines-2000-neuchatel/56960/	/56960/	/en/listing/56960/submit/	act	RENT	APARTMENT	APARTMENT	NaN	NaN	NaN	NaN	NaN	2370.0	TOTAL	monthly	2100.0	270.0	NaN	2 ½ rooms apartment	Loft, Valangines, 2000 Neuchâtel - CHF 2’370 incl. utilities per month	Rent a 2 ½ rooms apartment in Neuchâtel	Grand Loft unique et chaleureux, 145 m2	Loft de 145 m2 comprenant un grand salon/séjour de env. 14X6,5m. (90m2) donnant sur la cuisine .\nHabitation facilement modulable qui conviendrait à personne proche de la nature, thérapeute, méditation, salle de cours, profession libérale...\nGrande cuisine entièrement agencée attenante au séjour.\nChambre à coucher (4.8x3.8m2, 18m2) plein sud, avec 2 portes, l'une donnant sur le séjour, l'autre sur un grand dressing.\nSalle d’eau (10m2) avec baignoire, douche multi-jets et vapeur, lavabo, WC, armoire de rangement.\nGrandes fenêtres panoramiques avec vue sur le lac et les Alpes. Stores électriques. \nPorte d'entrée de plein pied.\nLe hall d'entrée (ancienne réception/salle d'attente) donne avec ses 3 portes sur la cuisine, le séjour et le WC séparé, qui fait aussi office de buanderie privative avec lave-linge et sécheuse à pompe à chaleur (Energie A). \nSol chauffant en carrelage avec thermostat de contrôle dans chaque pièce, et réglage individuel des heures et jours d’enclenchement/arrêt. \nPlafonds blancs à 3.2m de hauteur. \nNombreuses prises électriques, TV/vidéo, internet, téléphone. \nPart au galetas avec monte-charge.\nEndroit avec tables, bancs et grillades dans un grand verger.\nPetit jardinet privé au pied du bâtiment.\nBon accès direct et parcage facile.\nArrêt du bus à proximité. \nAutoroute toute proche.\nForêt au bout du chemin. \nNeuchatel-ouest, région des Valangines, quartier d’habitation tranquille, belle situation arborisée et vue magnifique.\nDe préférence à non-fumeurs.\nLoyer CHF 2100.-/mois, charges CHF 270.-/mois, 1 place de parc incluse.	145.0	NaN	NaN	NaN	NaN	145.0	2.5	0.0	[{'name': 'washingmachine'}, {'name': 'stonefloor'}, {'name': 'tumbler'}, {'name': 'cable'}, {'name': 'dishwasher'}, {'name': 'balconygarden'}, {'name': 'accessiblewithwheelchair'}, {'name': 'parkingspace'}, {'name': 'view'}]	False	False	False	Loft, Valangines	2000	Neuchâtel	Loft, Valangines, 2000 Neuchâtel	46.798803	6.855010	2004.0	NaN	imm	NaN	NaN	NaN	NaN	NaN	622263.0	[622263, 622270, 622264, 622265, 622266, 622267, 622268, 622269]	[]	{'name': 'Saco Sa', 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': None}	False	Rent a 2 ½ rooms apartment in Neuchâtel	145.0
6	58714	bahnhofstrasse-2527-8280-kreuzlingen	/en/flat/bahnhofstrasse-2527-8280-kreuzlingen/58714/	/58714/	/en/listing/58714/submit/	act	RENT	INDUSTRY	PARKING_SURFACE	Bahnhofstrasse..Garage.308168.b2ac31f4-d78d-11e8-bb6c-a4bf01195aaa	Bahnhofstrasse..Garage	308168	b2ac31f4-d78d-11e8-bb6c-a4bf01195aaa	NaN	110.0	TOTAL	monthly	NaN	NaN	110.0	Parking surface	Bahnhofstrasse 25/27, 8280 Kreuzlingen - CHF 110 incl. utilities per month	Rent a parking surface in Kreuzlingen	Reinschauen lohnt sich...!	Wir vermieten ab sofort an der Bahnhofstrasse 25/27, 8280 Kreuzlingen die letzten Garagen für Fr. 110.- / Monat. \n \nVerpassen Sie diese Gelegenheit nicht und kontaktieren Sie uns noch heute für einen unverbindlichen Besichtigungstermin! \nWir freuen uns auf Ihre Kontaktaufnahme! \nLiving Group \ninfo@livinggroup.ch \nTel. 043 960 73 80	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	[{'name': 'parkingspace'}]	False	False	False	Bahnhofstrasse 25/27	8280	Kreuzlingen	Bahnhofstrasse 25/27, 8280 Kreuzlingen	47.651983	9.170387	NaN	NaN	imm	NaN	NaN	NaN	NaN	NaN	644681.0	[644681]	[]	{'name': 'Living Group', 'name_2': None, 'street': 'Postfach', 'zipcode': '8036', 'city': 'Zürich', 'country': 'CH', 'logo': {'url': '/thumb/org/2018/12/se8q30pcm06kh94w3cgmpe5c4eg64x4h3zrhh57c811ov0i50j.jpg?signature=-Pl1tcTxedUZRrUhfD-s4EmQHe_p0M6zZ1fuTOznqV0', 'url_org_logo_m': '/thumb/org/2018/12/se8q30pcm06kh94w3cgmpe5c4eg64x4h3zrhh57c811ov0i50j.jpg?alias=org_logo_m&signature=lqgPHwXU8VIAA6qgmrqeNQXEUeL3e2QyAy5D7HzRCP8'}}	False	Rent a parking surface in Kreuzlingen	NaN
7	58833	kirchweg-2127-4208-nunningen	/en/flat/kirchweg-2127-4208-nunningen/58833/	/58833/	/en/listing/58833/submit/	act	RENT	PARK	OPEN_SLOT	Kirchweg..PPL.308154.abdd07cf-d78d-11e8-bb6c-a4bf01195aaa	Kirchweg..PPL	308154	abdd07cf-d78d-11e8-bb6c-a4bf01195aaa	NaN	40.0	TOTAL	monthly	NaN	NaN	40.0	Open slot	Kirchweg 21/27, 4208 Nunningen - CHF 40 incl. utilities per month	Rent a open slot in Nunningen	Letzte Parkplätze noch zu vermieten!	Wir vermieten am Kirchweg 21-27, Nunningen die letzten Parkplätze für Fr. 40.-/Monat. \nWir freuen uns auf Ihre Kontaktaufnahme! \nLiving Group \n043 960 73 80 \ninfo@livinggroup.ch	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	[{'name': 'parkingspace'}]	False	False	False	Kirchweg 21/27	4208	Nunningen	Kirchweg 21/27, 4208 Nunningen	47.393500	7.614562	NaN	NaN	imm	NaN	NaN	NaN	NaN	NaN	645940.0	[645940]	[]	{'name': 'Living Group', 'name_2': None, 'street': 'Postfach', 'zipcode': '8036', 'city': 'Zürich', 'country': 'CH', 'logo': {'url': '/thumb/org/2018/12/se8q30pcm06kh94w3cgmpe5c4eg64x4h3zrhh57c811ov0i50j.jpg?signature=-Pl1tcTxedUZRrUhfD-s4EmQHe_p0M6zZ1fuTOznqV0', 'url_org_logo_m': '/thumb/org/2018/12/se8q30pcm06kh94w3cgmpe5c4eg64x4h3zrhh57c811ov0i50j.jpg?alias=org_logo_m&signature=lqgPHwXU8VIAA6qgmrqeNQXEUeL3e2QyAy5D7HzRCP8'}}	False	Rent a open slot in Nunningen	NaN
8	58837	rankwog-11-4632-trimbach	/en/flat/rankwog-11-4632-trimbach/58837/	/58837/	/en/listing/58837/submit/	act	RENT	INDUSTRY	PARKING_SURFACE	Rankwog11..Tiefgarage.308164.b04a6fe9-d78d-11e8-bb6c-a4bf01195aaa	Rankwog11..Tiefgarage	308164	b04a6fe9-d78d-11e8-bb6c-a4bf01195aaa	NaN	95.0	TOTAL	monthly	NaN	NaN	95.0	Parking surface	Rankwog 11, 4632 Trimbach - CHF 95 incl. utilities per month	Rent a parking surface in Trimbach	Reinschauen lohnt sich...! Einstellplätze per sofort!	Wir vermieten per sofort Einstellplätze in der Tiefgarage Rankwog 11, 4632 Trimbach. \n \nSind Sie interessiert? \nWir freuen uns auf Ihre Kontaktaufnahme! \nLiving Group \ninfo@livinggroup.ch \n043 960 73 80	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	[{'name': 'parkingspace'}]	False	False	False	Rankwog 11	4632	Trimbach	Rankwog 11, 4632 Trimbach	47.370160	7.914666	NaN	NaN	imm	NaN	NaN	NaN	NaN	NaN	645943.0	[645943]	[]	{'name': 'Living Group', 'name_2': None, 'street': 'Postfach', 'zipcode': '8036', 'city': 'Zürich', 'country': 'CH', 'logo': {'url': '/thumb/org/2018/12/se8q30pcm06kh94w3cgmpe5c4eg64x4h3zrhh57c811ov0i50j.jpg?signature=-Pl1tcTxedUZRrUhfD-s4EmQHe_p0M6zZ1fuTOznqV0', 'url_org_logo_m': '/thumb/org/2018/12/se8q30pcm06kh94w3cgmpe5c4eg64x4h3zrhh57c811ov0i50j.jpg?alias=org_logo_m&signature=lqgPHwXU8VIAA6qgmrqeNQXEUeL3e2QyAy5D7HzRCP8'}}	False	Rent a parking surface in Trimbach	NaN
9	62870	bodenweg-2-4226-breitenbach	/en/flat/bodenweg-2-4226-breitenbach/62870/	/62870/	/en/listing/62870/submit/	act	RENT	PARK	GARAGE_SLOT	.332476.b219b3e1-14b9-11e9-8279-a4bf01195aaa	NaN	332476	b219b3e1-14b9-11e9-8279-a4bf01195aaa	NaN	95.0	TOTAL	monthly	NaN	NaN	95.0	Underground slot	Bodenweg 2, 4226 Breitenbach - CHF 95 incl. utilities per month	Rent a underground slot in Breitenbach	Letzte Einstellplätze in der Tiefgarage	Einstellplätze zu vermieten \nWir vermieten per sofort die letzten Einstellplätze! \n \nSind Sie interessiert? \n \nWir freuen uns auf Ihre Kontaktaufnahme! \n \n \n \nLiving Group \n \ninfo@livinggroup.ch \n \n043 960 73 80	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	[]	False	False	False	Bodenweg 2	4226	Breitenbach	Bodenweg 2, 4226 Breitenbach	47.402291	7.544379	NaN	NaN	imm	NaN	NaN	NaN	NaN	NaN	NaN	[]	[]	{'name': 'Living Group', 'name_2': None, 'street': 'Postfach', 'zipcode': '8036', 'city': 'Zürich', 'country': 'CH', 'logo': {'url': '/thumb/org/2018/12/se8q30pcm06kh94w3cgmpe5c4eg64x4h3zrhh57c811ov0i50j.jpg?signature=-Pl1tcTxedUZRrUhfD-s4EmQHe_p0M6zZ1fuTOznqV0', 'url_org_logo_m': '/thumb/org/2018/12/se8q30pcm06kh94w3cgmpe5c4eg64x4h3zrhh57c811ov0i50j.jpg?alias=org_logo_m&signature=lqgPHwXU8VIAA6qgmrqeNQXEUeL3e2QyAy5D7HzRCP8'}}	False	Rent a underground slot in Breitenbach	NaN

	pk	slug	url	short_url	submit_url	status	offer_type	object_category	object_type	reference	ref_property	ref_house	ref_object	alternative_reference	price_display	price_display_type	price_unit	rent_net	rent_charges	rent_gross	short_title	public_title	pitch_title	description_title	description	surface_living	surface_property	surface_usable	surface_usable_minimum	volume	space_display	number_of_rooms	floor	attributes	is_furnished	is_temporary	is_selling_furniture	street	zipcode	city	public_address	latitude	longitude	year_built	year_renovated	moving_date_type	moving_date	video_url	tour_url	website_url	live_viewing_url	cover_image	images	documents	agency	reserved	rent_title	livingspace
27647	1254463	goldbrunnenstrasse-144-8055-zurich	/en/flat/goldbrunnenstrasse-144-8055-zurich/1254463/	/1254463/	/en/listing/1254463/submit/	act	RENT	SHARED	SHARED_FLAT	NaN	NaN	NaN	NaN	NaN	1100.0	TOTAL	monthly	NaN	NaN	1100.0	Room in a shared flat	Goldbrunnenstrasse 144, 8055 Zürich - CHF 1’100 incl. utilities per month	Rent a room in a shared flat in Zürich	Renting my Room	Möbliertes Zimmer für ca 5-6 Monate zur Untervermietung \nHallo zäme, \nIch möchte gerne mein Zimmer in unserer charmanten 2-Personen-WG für ca. 5 Monate untervermieten. Meine Mitbewohnerin wird ebenfalls von ca. Mitte September bis Anfang Dezember weg sein. \nLage: \nZürich Wiedikon, am Goldbrunnenplatz, Lage mit exzellenter Anbindung an öffentliche Verkehrsmittel (Tram, Bus). Einkaufsmöglichkeiten gleich in der Nähe und si wie viele tolle Resturants, Kaffees und Bars. \nDetails: \n\n* Größe: ca. 13m²\n* Miete: 1100/- pro Monat (inkl. Nebenkosten) + 22.50.- Internet\n* Zeitraum: 01.09.2024 - 31.01.2025 (5 Monate) genaue Einzugs- und Auszugsdaten bin ich flexibel\n\nAusstattung: \n\n* Voll möbliert (Bett, Kleiderschrank, Kommode)\n* Helles, freundliches Zimmer mit großem Fenster\n* High-Speed-Internet (WLAN)\n* Nutzung der voll ausgestatteten Küche (Kühlschrank, Herd, Ofen, Mikrowelle, Geschirrspüler)\n* Modernes Badezimmer zur Mitbenutzung\n* Ganz gemütliches Wohnzimmer mit Balkon auch zur Mitbenutzung\n* Geteilte Waschküche im Keller (fix jeder Do Waschtag)\n\n \nFurnished room for rent for approx. 5-6 months \nHello everyone, \n \nI would like to sublet my room in our charming 2-person flat share for approx. 5 months. My flatmate will also be away from around mid-September to the beginning of December. \n \nLocation: \nZurich Wiedikon, just off Goldbrunnenplatz with excellent public transport connections (tram, bus). Shopping facilities nearby and many great restaurants, cafes and bars within a few minutes walk. \n \nDetails: \n· Size: approx. 13m² \n· Rent: 1100/- per month (incl. additional costs) \n· Period: 01.09.2024 - 31.01.2025 (5 months) Entry and exit I am still a little flexible you could still see what fits. \n \nEquipment: \n· Fully furnished (bed, wardrobe, drawers) \n· Bright, friendly room with large window \n· High-speed Internet (WLAN) \n· Use of the fully equipped kitchen (fridge, cooker, oven, microwave) \n· Modern bathroom for shared use \n· Very cosy living room with balcony also for shared use	NaN	NaN	NaN	NaN	NaN	NaN	1.0	2.0	[{'name': 'balconygarden'}, {'name': 'lift'}, {'name': 'parquetflooring'}]	False	True	False	Goldbrunnenstrasse 144	8055	Zürich	Goldbrunnenstrasse 144, 8055 Zürich	47.371892	8.511351	NaN	NaN	dat	2024-09-01	NaN	NaN	NaN	NaN	9411054.0	[9411054, 9411056, 9411033, 9411051, 9411012, 9411053]	[]	{'name': None, 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': None}	False	Rent a room in a shared flat in Zürich	NaN
27648	1254467	effretikerstrasse-2a-8604-volketswil	/en/flat/effretikerstrasse-2a-8604-volketswil/1254467/	/1254467/	/en/listing/1254467/submit/	act	RENT	PARK	GARAGE_SLOT	NaN	NaN	NaN	NaN	NaN	130.0	TOTAL	monthly	NaN	NaN	130.0	Underground slot	Effretikerstrasse 2A, 8604 Volketswil - CHF 130 incl. utilities per month	Rent a underground slot in Volketswil	Tiefgaragenparkplatz in Volketswil	Tiefgaragenplatz in Kindhausen per sofort verfügbar. Parkplatz Nummer 5 auf den Bildern. Der Inserent ist Mieter, Untermietvertrag würde nach Rücksprache mit der Verwaltung aufgesetzt. Stehe sehr gerne für Fragen oder Besichtigungen zur Verfügung.	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	[{'name': 'parkingspace'}, {'name': 'garage'}]	False	False	False	Effretikerstrasse 2A	8604	Volketswil	Effretikerstrasse 2A, 8604 Volketswil	47.406122	8.681111	NaN	NaN	imm	NaN	NaN	NaN	NaN	NaN	9412379.0	[9412379, 9412380, 9412378]	[]	{'name': None, 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': None}	False	Rent a underground slot in Volketswil	NaN
27649	1254468	8004-zurich	/en/flat/8004-zurich/1254468/	/1254468/	/en/listing/1254468/submit/	act	RENT	SHARED	SHARED_FLAT	NaN	NaN	NaN	NaN	NaN	1137.0	TOTAL	monthly	NaN	NaN	1137.0	Room in a shared flat	8004 Zürich - CHF 1’137 incl. utilities per month	Rent a room in a shared flat in Zürich	Zimmer 1. Stock	Einmalig schönes Zimmer in Altbauwohnung Nähe Helvetiaplatz \n \nPer Sofort (oder nach Vereinbarung) wird dieses hübsche Zimmer frei. Die Wohnung ist ca. 105m2 gross – ein wunderschön renovierter Altbau am oberen, ruhigeren Teil der Langstrasse. 4,5 Zimmer, Küche mit Gaskochherd & Geschirrspüler, Balkon zum Innenhof, Bad mit Badewanne & Waschmaschine/Tumbler, grosses Wohnzimmer, ganze Wohnung mit Stuckaturen an der Decke und mit schönen, alten Böden. Tramlinien 2, 3, 8 sowie Busstation Kernstrasse praktisch vor der Haustür. \n \nDas freie Zimmer ist mit Abstand das tollste der ganzen Wohnung: es geht als einziges bei 2 Türen hinaus, hat ein Fenster, \nZusammenleben würdest du mit Michael (35, Standortleiter in einer Gelateria (yes; Ice Cream for freee!) und Santiago (33, Koch)… Wir sitzen gern mal abends bei einem Vino draussen auf dem Balkon zusammen und quatschen über Gott und die Welt – ansonsten lebt jeder sein eigenes Leben und wir geben einander viel Freiraum. \nWir lieben die zentrale Lage unserer Wohnung mit Cafés, Kinos, Bars, Yogastudios, Bibliotheken, Märkten etc. in Gehdistanz. Unser Zuhause ist jedoch ein Rückzugsort, hier soll sich jeder entspannen und wohlfühlen können. \nWir suchen nach einer ruhigen, aufgeschlossenen Person über 30 und mit Festanstellung, die es schätzt, zentral zu leben und sich Zuhause dennoch zurückziehen zu können. Respekt und gegenseitige Rücksichtnahme sind Key :)… \nSounds good? Dann freuen wir uns sehr darauf, wenn du uns ein paar Zeilen zu dir schreibst (und wieso du zu uns passen könntest) und wir dich allenfalls schon bald zur Besichtigung einladen dürfen. \nWICHTIG: \n \n\- Bitte melde dich nur, wenn du über 30 bist und eine Festanstellung hast.	105.0	NaN	NaN	NaN	NaN	105.0	1.0	1.0	[{'name': 'balconygarden'}, {'name': 'lift'}, {'name': 'dishwasher'}, {'name': 'parquetflooring'}, {'name': 'tumbler'}, {'name': 'broadbandinternet'}, {'name': 'washingmachine'}]	False	False	False	NaN	8004	Zürich	8004 Zürich	47.380802	8.517321	1850.0	2010.0	imm	NaN	NaN	NaN	NaN	NaN	9412389.0	[9412389, 9412392, 9412391, 9412386, 9412382, 9412388, 9412385, 9412384, 9412387, 9412390, 9412383]	[]	{'name': None, 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': None}	False	Rent a room in a shared flat in Zürich	105.0
27650	1254471	buckhauserstrasse-29-8048-zurich	/en/flat/buckhauserstrasse-29-8048-zurich/1254471/	/1254471/	/en/listing/1254471/submit/	act	RENT	APARTMENT	APARTMENT	NaN	NaN	NaN	NaN	NaN	3270.0	TOTAL	monthly	NaN	NaN	3270.0	3 ½ rooms apartment	Buckhauserstrasse 29, 8048 Zurich - CHF 3’270 incl. utilities per month	Rent a 3 ½ rooms apartment in Zurich	Rent a 3 ½ rooms apartment in Zurich	Furnished 3.5 room apartment \nWe offer you an attractive 3.5 room apartment in a quiet location. The apartment has 2 bedrooms. A spacious balcony invites you to relax and enjoy the surroundings. \nThe apartment is characterized by excellent access to the city, as the Tram line 2 stop is located right next door. \nFeatures: \n\n* 3.5 room apartment with 102m2\n* 2x bedrooms/office\n* balcony\n* 2x bathrooms\n* washing and tumbler in the apartment\n* cellar compartment available\n\nFurnishing: \n\n* kitchen furniture\n* Sofa incl. table\n* sideboard\n* lamps\n* dining table + chairs\n* bookshelf\n* 1 bed (160cm)\n* if necessary second bed can be provided\n* 2 closets (Ikea PAX)\n* lounge balcony\n* desk\n\nLocation: \nThe apartment is located in a central location in Zurich. Within walking distance you will find shopping facilities such as Coop, Denner, Aldi and Migros, which cover your daily needs. \nRental period: \nThe apartment is available from September 1st and is initially rented for a period of one year. However, there is a possibility of extension and/or taking over the main contract. \n \nRental conditions: \nRent: CHF 3'270 per month \nDeposit: 2 months rent	102.0	NaN	NaN	NaN	NaN	102.0	3.5	2.0	[{'name': 'balconygarden'}, {'name': 'lift'}, {'name': 'garage'}, {'name': 'parkingspace'}, {'name': 'accessiblewithwheelchair'}, {'name': 'view'}, {'name': 'parquetflooring'}, {'name': 'washingmachine'}, {'name': 'stonefloor'}]	True	False	False	Buckhauserstrasse 29	8048	Zurich	Buckhauserstrasse 29, 8048 Zurich	47.384872	8.493651	2018.0	NaN	dat	2024-09-01	NaN	NaN	NaN	NaN	9412325.0	[9412325, 9412324, 9412328, 9412327, 9412316, 9412330, 9412319, 9412318, 9412321, 9412322, 9412323, 9412326, 9412329, 9412317]	[]	{'name': None, 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': None}	False	Rent a 3 ½ rooms apartment in Zurich	102.0
27651	1254474	splugenstrasse-8-8002-zurich	/en/flat/splugenstrasse-8-8002-zurich/1254474/	/1254474/	/en/listing/1254474/submit/	act	RENT	SHARED	SHARED_FLAT	NaN	NaN	NaN	NaN	NaN	1390.0	TOTAL	monthly	NaN	NaN	1390.0	Room in a shared flat	Splügenstrasse 8, 8002 Zürich - CHF 1’390 incl. utilities per month	Rent a room in a shared flat in Zürich	5 Zimmer WG im Herzen von Zürich direkt am See!	Hallo zusammen und herzlich willkommen bei der NextGen Properties! 🎯 \n \nPer sofort vermieten wir zwei Zimmer in dieser hellen 5-Zimmer-Wohnung an bester Lage direkt am See (8002 Enge). \n \nHier sind die Details: \n \n\n* Mietbeginn: Per sofort, 01.07.2024 (spätestens 16.07.)\n* Miete: 1'340 CHF pro Monat (inkl. Nebenkosten)\n* Zimmergröße: Entweder 13m'2 mit Balkon oder 17m'2 ohne Balkon (Preis ist der gleiche)\n* Gemeinschaftseinrichtungen: 2 x Balkon zum Entspannen (einen für die Morgensonne und einen für Abends), grosse Küche und 2 Bäder, damit alle Bewohner morgens genug Platz haben\n\nWichtig: \nAktuell ist die WG mit 3 Personen gefüllt (1 x weiblich, anfangs 20 und 2 x männlich, Ende 20). Für die letzten beiden Zimmer suchen wir also tendenziell Frauen. \n \nMöblierung: \nSolltest du dein Zimmer möbliert wünschen, machen wir das gerne für dich. Die Möblierung würde einmalig 750 CHF kosten. \n \nUnd nun zu dir und was du erfüllen solltest: \n\n* Bist vorzugsweise weiblich\n* Bist zwischen 18 und 30 Jahren alt\n* ⁠bist selbst Student oder bereits im Arbeitsleben angekommen\n* Nicht-Raucher 🚭\n* Hast, wenn du aus dem Ausland kommst, mind. die Aufenthaltsbewilligung B\n\nZu uns: \n\n* Wir, die NextGen Properties 🎯, sind ein Co-Living Anbieter und bieten so in gesamthaft 7 Schweizer Städten WGs und Co-Livings an. 🏘️\n* In unseren bereits über 80 WGs leben mittlerweile über 200 junge Menschen - darunter Studierende, Lehrlinge aber auch Doktoranden sowie bereits arbeitstätige junge Menschen! 👨🏼‍🎓\n* Unser Ziel und unsere Mission besteht darin, einfacheren und schnelleren Zugang zu flexiblen Wohnmöglichkeiten zu offerieren und somit sicherzustellen, dass schweizweit auch wirklich jeder, welcher ein WG Zimmer sucht, auch eines finden wird! 😊\n\n \nSolltest du mehr zu uns erfahren wollen, findest du uns ansonsten auch auf Instagram (https://www.instagram.com/next.genproperties/) oder natürlich auf unserer Webseite (www.nextgenproperties.ch). \n \nWir freuen uns aufjedenfall auf deine Bewerbung und wünschen dir - falls du dich für uns entscheiden solltest - bereits jetzt ein ganz gutes Einleben in deinem neuen Zuhause und heissen dich in der NextGen Community herzlich willkommen! 😊 \n \nDein NextGen Team 🎯	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	[]	False	False	False	Splügenstrasse 8	8002	Zürich	Splügenstrasse 8, 8002 Zürich	47.364472	8.533621	NaN	NaN	imm	NaN	NaN	NaN	https://www.nextgenproperties.ch/	NaN	9412421.0	[9412421, 9412422, 9412423, 9412424, 9412425, 9412426, 9412427, 9412428, 9412429, 9412430, 9412431, 9412432, 9412433, 9412434]	[]	{'name': 'NextGen Properties', 'name_2': '', 'street': 'Via Suvretta 6', 'zipcode': '7500', 'city': 'St. Moritz', 'country': 'CH', 'logo': {'url': '/thumb/org/2024/06/xvho2l6wl3n0bka260qqodnj9c1spwr0hq05jft899jxv4den1.png?signature=R56JoMuWCz0tOYqitgYjz6PhRzbwSl-O9gS31sgVNRI', 'url_org_logo_m': '/thumb/org/2024/06/xvho2l6wl3n0bka260qqodnj9c1spwr0hq05jft899jxv4den1.png?alias=org_logo_m&signature=qO5-m3IfknB6MY8AryvhKsK7zBmn21bsQvp6jI33-uA'}}	False	Rent a room in a shared flat in Zürich	NaN
27652	1254475	pflugstr-10-8006-zurich	/en/flat/pflugstr-10-8006-zurich/1254475/	/1254475/	/en/listing/1254475/submit/	act	RENT	SHARED	SHARED_FLAT	NaN	NaN	NaN	NaN	NaN	1290.0	TOTAL	monthly	1190.0	100.0	NaN	Room in a shared flat	Pflugstr. 10, 8006 Zürich - CHF 1’290 incl. utilities per month	Rent a room in a shared flat in Zürich	Cosy room in Kreis 6	Ein Zimmer in einer 3er WG in kreis 6. \nDas Zimmer und die Wohnung ist komplett möbliert. \nRuhige und sehr zentrale Lage mitten in Zürich.	16.0	NaN	NaN	NaN	NaN	16.0	1.0	1.0	[{'name': 'raisedgroundfloor'}, {'name': 'parquetflooring'}, {'name': 'washingmachine'}, {'name': 'tumbler'}, {'name': 'broadbandinternet'}, {'name': 'dishwasher'}, {'name': 'lift'}, {'name': 'balconygarden'}]	True	False	False	Pflugstr. 10	8006	Zürich	Pflugstr. 10, 8006 Zürich	47.389972	8.537591	1930.0	2019.0	imm	NaN	NaN	NaN	NaN	NaN	9412435.0	[9412435, 9412436, 9412437, 9412438, 9412439, 9412440, 9412441]	[]	{'name': None, 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': None}	False	Rent a room in a shared flat in Zürich	16.0
27653	1254477	schwimmbadstrasse-7-8302-kloten	/en/flat/schwimmbadstrasse-7-8302-kloten/1254477/	/1254477/	/en/listing/1254477/submit/	act	RENT	APARTMENT	APARTMENT	NaN	NaN	NaN	NaN	NaN	2500.0	TOTAL	monthly	2200.0	300.0	NaN	4 rooms apartment	Schwimmbadstrasse 7, 8302 Kloten - CHF 2’500 incl. utilities per month	Rent a 4 rooms apartment in Kloten	"Komplett sanierte 4-Zimmer Wohnung"	An sehr gut erschlossener Lage vermieten wir ab Oktober 2024 eine komplett renovierte Wohnung mit: \n\n* neue moderne Küche\n* neues Bad\n* Wandschränke im Korridor\n* Hochwertigen Bodenbelägen\n* Kellerabteil\n* Winde (Estrichabteil)\n* Balkon zum Verweilen\n* In Fussweite zur Bushaltestelle oder Bahnhof Kloten (5 Min.)\n\nEinen Garagenparkplatz kann für 150.00 CHF / Monat dazu gemietet werden. \n \nÜberzeugen Sie sich selbst und buchen Sie noch heute einen Besichtigungstermin. \n \nWir freuen uns auf Sie!	74.0	NaN	NaN	NaN	NaN	74.0	4.0	1.0	[{'name': 'balconygarden'}, {'name': 'garage'}, {'name': 'lift'}, {'name': 'dishwasher'}, {'name': 'cable'}, {'name': 'parquetflooring'}, {'name': 'petsallowed'}]	False	False	False	Schwimmbadstrasse 7	8302	Kloten	Schwimmbadstrasse 7, 8302 Kloten	47.444872	8.581141	1960.0	2023.0	dat	2024-10-01	NaN	NaN	NaN	NaN	9412419.0	[9412419, 9412416, 9412414, 9412415, 9412417, 9412418, 9412420, 9412413]	[]	{'name': 'Maretimo AG', 'name_2': '', 'street': '', 'zipcode': '', 'city': '', 'country': 'CH', 'logo': {'url': '/thumb/org/2022/02/sfz8mqroc6arreoup3j7k4bj7wzuxkm7jqbgzizbbxkb85vfca.png?signature=-D0qaqsYbs_zgo8Pt_b2D4gWK8eIlIfp4kr8koe1vs8', 'url_org_logo_m': '/thumb/org/2022/02/sfz8mqroc6arreoup3j7k4bj7wzuxkm7jqbgzizbbxkb85vfca.png?alias=org_logo_m&signature=H12iU0UX4UR5k9g14TGirDCrID4enoYiB9HCHVYdkMU'}}	False	Rent a 4 rooms apartment in Kloten	74.0
27654	1254479	j-h-prstalozzialee-13-2503-biel-bienne	/en/flat/j-h-prstalozzialee-13-2503-biel-bienne/1254479/	/1254479/	/en/listing/1254479/submit/	act	RENT	SHARED	SHARED_FLAT	NaN	NaN	NaN	NaN	NaN	600.0	TOTAL	monthly	NaN	NaN	600.0	Room in a shared flat	J. H. Prstalozzialee 13, 2503 Biel Bienne - CHF 600 incl. utilities per month	Rent a room in a shared flat in Biel Bienne	Frei stehendes Haus ( 3 Zimmer) grosser Garten an ruhiger Lage , ÖV Bus Nr. 3 vor der Türe	Parkplatz inkl.	60.0	NaN	60.0	50.0	NaN	60.0	1.0	0.0	[{'name': 'parkingspace'}, {'name': 'balconygarden'}, {'name': 'broadbandinternet'}, {'name': 'cable'}, {'name': 'washingmachine'}, {'name': 'dishwasher'}, {'name': 'parquetflooring'}, {'name': 'raisedgroundfloor'}, {'name': 'ramp'}, {'name': 'view'}, {'name': 'petsallowed'}]	True	False	False	J. H. Prstalozzialee 13	2503	Biel Bienne	J. H. Prstalozzialee 13, 2503 Biel Bienne	47.128942	7.260541	1942.0	2008.0	agr	NaN	NaN	NaN	NaN	NaN	9412442.0	[9412442, 9412443, 9412444, 9412445, 9412446, 9412447, 9412448, 9412449]	[]	{'name': None, 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': None}	False	Rent a room in a shared flat in Biel Bienne	60.0
27655	1254483	sonnhalde-34a-3065-bolligen	/en/flat/sonnhalde-34a-3065-bolligen/1254483/	/1254483/	/en/listing/1254483/submit/	act	RENT	APARTMENT	APARTMENT	NaN	NaN	NaN	NaN	NaN	1125.0	TOTAL	monthly	975.0	150.0	NaN	1 room apartment	Sonnhalde 34a, 3065 Bolligen - CHF 1’125 incl. utilities per month	Rent a 1 room apartment in Bolligen	Studiowohnung in Bolligen mit Terrassen und Alpenblick	Ihr neues Zuhause erwartet Sie: ein lichtdurchflutetes Studio (27.5 m^2) im Neubau mit Terrasse, Dachterrasse und atemberaubendem Bergblick. Optional steht eine Garage zur Verfügung gegen einen Aufpreis von 150.-/Monat. Die ruhige Lage bietet kurze Wege zu Einkaufsmöglichkeiten und dem Bahnhof Ittigen. In nur 8 Minuten erreichen Sie mit dem Zug das Zentrum von Bern. Geniessen Sie die Natur in der Nähe mit Spazierwegen zum Mannenberg (15 Gehminuten) und Schermenwald (10 Gehminuten). Ein zusätzlicher Nebenraum steht als Keller zur Verfügung. \nDie Nebenkosten sind nicht inklusive, jedoch wird durch die zwei Solarpaneele auf dem Dach Energie gespart. Die Nebenkosten betragen monatlich 150 Franken. Am Ende des Jahres wird eine detaillierte Abrechnung aller Betriebskosten gemäss Mietvertrag erstellt. \nDer Erstbezug ist frühestens ab August 2024 möglich.	27.0	NaN	35.0	NaN	NaN	27.0	1.0	1.0	[{'name': 'view'}, {'name': 'balconygarden'}, {'name': 'garage'}, {'name': 'parkingspace'}, {'name': 'dishwasher'}, {'name': 'broadbandinternet'}, {'name': 'washingmachine'}]	False	False	False	Sonnhalde 34a	3065	Bolligen	Sonnhalde 34a, 3065 Bolligen	46.973662	7.489331	2024.0	NaN	agr	NaN	NaN	NaN	NaN	NaN	9412451.0	[9412451, 9412452, 9412453, 9412454, 9412456, 9412460, 9412461, 9412462, 9412463]	[]	{'name': None, 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': None}	False	Rent a 1 room apartment in Bolligen	27.0
27656	1254486	bahnhofplatz-13-8953-dietikon	/en/flat/bahnhofplatz-13-8953-dietikon/1254486/	/1254486/	/en/listing/1254486/submit/	act	RENT	APARTMENT	APARTMENT	NaN	NaN	NaN	NaN	NaN	2050.0	TOTAL	monthly	NaN	NaN	2050.0	3 ½ rooms apartment	Bahnhofplatz 13, 8953 Dietikon - CHF 2’050 incl. utilities per month	Rent a 3 ½ rooms apartment in Dietikon	3.5 Zimmer wohnung zu vermieten	Direkt am Bahnhof von Dietikon suchen wir einen Nachmieter für unsere schöne und grosszügige Wohnung mit Terasse.\n\nInnerhalb von wenigen Gehminuten erreichen Sie:\n\n° den Bahnhof\n° jegliche Einkaufsmöglichkeiten\n° Restaurants für jeden Geschmack\n° Und vieles mehr !	92.0	NaN	92.0	92.0	NaN	92.0	3.5	2.0	[{'name': 'balconygarden'}, {'name': 'garage'}, {'name': 'lift'}, {'name': 'accessiblewithwheelchair'}, {'name': 'dishwasher'}, {'name': 'cable'}, {'name': 'petsallowed'}, {'name': 'parquetflooring'}, {'name': 'view'}]	False	False	False	Bahnhofplatz 13	8953	Dietikon	Bahnhofplatz 13, 8953 Dietikon	47.405812	8.403451	NaN	NaN	dat	2024-09-01	NaN	NaN	NaN	NaN	9412184.0	[9412184, 9412179, 9412181, 9412178, 9412182, 9412183, 9412180, 9412185, 9412176, 9412177, 9412186, 9412187]	[]	{'name': None, 'name_2': None, 'street': None, 'zipcode': None, 'city': None, 'country': None, 'logo': None}	False	Rent a 3 ½ rooms apartment in Dietikon	92.0

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